181 results (0,22502 seconds)

Show all filters

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Wavelet Analysis Basic Concepts and Applications

Wavelet Analysis Basic Concepts and Applications

Wavelet Analysis: Basic Concepts and Applications provides a basic and self-contained introduction to the ideas underpinning wavelet theory and its diverse applications. This book is suitable for master’s or PhD students senior researchers or scientists working in industrial settings where wavelets are used to model real-world phenomena and data needs (such as finance medicine engineering transport images signals etc. ). Features: Offers a self-contained discussion of wavelet theory Suitable for a wide audience of post-graduate students researchers practitioners and theorists Provides researchers with detailed proofs Provides guides for readers to help them understand and practice wavelet analysis in different areas | Wavelet Analysis Basic Concepts and Applications

GBP 44.99
1

Basic Statistical Methods and Models for the Sciences

Basic Statistical Methods and Models for the Sciences

The use of statistics in biology medicine engineering and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields. Although many introductory statistics books already exist too often their focus leans towards theory and few help readers gain effective experience in using a standard statistical software package. Designed to be used in a first course for graduate or upper-level undergraduate students Basic Statistical Methods and Models builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book giving readers valuable experience with computer simulation and problem-solving techniques. The author focuses on applications and the models appropriate to each problem while emphasizing Monte Carlo methods the Central Limit Theorem confidence intervals and power functions. The text assumes that readers have some degree of maturity in mathematics but it does not require the use of calculus. This along with its very clear explanations generous number of exercises and demonstrations of the extensive uses of statistics in diverse areas applications make Basic Statistical Methods and Models highly accessible to students in a wide range of disciplines. | Basic Statistical Methods and Models for the Sciences

GBP 59.99
1

Basic Analysis I Functions of a Real Variable

Basic Analysis I Functions of a Real Variable

Basic Analysis I: Functions of a Real Variable is designed for students who have completed the usual calculus and ordinary differential equation sequence and a basic course in linear algebra. This is a critical course in the use of abstraction but is just first volume in a sequence of courses which prepare students to become practicing scientists. This book is written with the aim of balancing the theory and abstraction with clear explanations and arguments so that students who are from a variety of different areas can follow this text and use it profitably for self-study. It can also be used as a supplementary text for anyone whose work requires that they begin to assimilate more abstract mathematical concepts as part of their professional growth. Features Can be used as a traditional textbook as well as for self-study Suitable for undergraduate mathematics students or for those in other disciplines requiring a solid grounding in abstraction Emphasises learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions | Basic Analysis I Functions of a Real Variable

GBP 82.99
1

Basic Statistics and Pharmaceutical Statistical Applications

Basic Statistics and Pharmaceutical Statistical Applications

Building on its best-selling predecessors Basic Statistics and Pharmaceutical Statistical Applications Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter this third edition now provides information on software applications to assist with evaluating data. New to the Third EditionUse of Excel® and Minitab® for performing statistical analysisDiscussions of nonprobability sampling procedures determining if data is normally distributed evaluation of covariances and testing for precision equivalenceExpanded sections on regression analysis chi square tests tests for trends with ordinal data and tests related to survival statistics Additional nonparametric procedures including the one-sided sign test Wilcoxon signed-ranks test and Mood’s median testWith the help of flow charts and tables the author dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps readers correctly interpret their results using statistical software. Through the text’s worked-out examples readers better understand how the mathematics works the logic behind many of the equations and the tests’ outcomes.

GBP 44.99
1

Basic Matrix Algebra with Algorithms and Applications

Basic Matrix Algebra with Algorithms and Applications

Clear prose tight organization and a wealth of examples and computational techniques make Basic Matrix Algebra with Algorithms and Applications an outstanding introduction to linear algebra. The author designed this treatment specifically for freshman majors in mathematical subjects and upper-level students in natural resources the social sciences business or any discipline that eventually requires an understanding of linear models. With extreme pedagogical clarity that avoids abstraction wherever possible the author emphasizes minimal polynomials and their computation using a Krylov algorithm. The presentation is highly visual and relies heavily on work with a graphing calculator to allow readers to focus on concepts and techniques rather than on tedious arithmetic. Supporting materials including test preparation Maple worksheets are available for download from the Internet. This unassuming but insightful and remarkably original treatment is organized into bite-sized clearly stated objectives. It goes well beyond the LACSG recommendations for a first course while still implementing their philosophy and core material. Classroom tested with great success it prepares readers well for the more advanced studies their fields ultimately will require.

GBP 175.00
1

Probability and Statistical Inference From Basic Principles to Advanced Models

Probability and Statistical Inference From Basic Principles to Advanced Models

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability distribution theory and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour bridging the gap between the many excellent introductory books and the more advanced graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics with even the more abstract parts placed in the context of a practical setting. Features: •Complete introduction to mathematical probability random variables and distribution theory. •Concise but broad account of statistical modelling covering topics such as generalised linear models survival analysis time series and random processes. •Extensive discussion of the key concepts in classical statistics (point estimation interval estimation hypothesis testing) and the main techniques in likelihood-based inference. •Detailed introduction to Bayesian statistics and associated topics. •Practical illustration of some of the main computational methods used in modern statistical inference (simulation boostrap MCMC). This book is for students who have already completed a first course in probability and statistics and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists researchers and other applied practitioners who want to understand the theory behind the statistical methods used in their fields. | Probability and Statistical Inference From Basic Principles to Advanced Models

GBP 44.99
1

Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile popular and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e. g. cross-sectional data longitudinal data complex surveys survival data studies subject to measurement error etc. ) are used to demonstrate the methods. In order for readers not only to know how to use the methods but understand why multiple imputation works and how to choose appropriate methods simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e. g. univariate and multivariate missing data problems missing data in survival analysis longitudinal data complex surveys etc. ) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples illustrative datasets and sample programming code from popular statistical packages (e. g. SAS R WinBUGS) are included in the book. For others they are available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book) | Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

GBP 82.99
1

Basic Experimental Strategies and Data Analysis for Science and Engineering

Basic Experimental Strategies and Data Analysis for Science and Engineering

Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform when to quit and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments give the greatest degree of reliability to their conclusions and keep the risk of overlooking something of practical importance to a minimum. Features:Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledgeFeatures a review of the necessary statistical prerequisitesPresents a set of tables that allow readers to quickly access various experimental designsIncludes a roadmap for where and when to use various experimental design strategiesShows compelling examples of each method discussedIllustrates how to reproduce results using several popular software packages on a supplementary websiteFollowing the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand follow the design to conduct the experiments and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students. | Basic Experimental Strategies and Data Analysis for Science and Engineering

GBP 44.99
1

A First Course in Functional Analysis

A First Course in Functional Analysis

Written as a textbook A First Course in Functional Analysis is an introduction to basic functional analysis and operator theory with an emphasis on Hilbert space methods. The aim of this book is to introduce the basic notions of functional analysis and operator theory without requiring the student to have taken a course in measure theory as a prerequisite. It is written and structured the way a course would be designed with an emphasis on clarity and logical development alongside real applications in analysis. The background required for a student taking this course is minimal; basic linear algebra calculus up to Riemann integration and some acquaintance with topological and metric spaces.

GBP 46.99
1

A First Course in Ergodic Theory

A First Course in Ergodic Theory

A First Course in Ergodic Theory provides readers with an introductory course in Ergodic Theory. This textbook has been developed from the authors’ own notes on the subject which they have been teaching since the 1990s. Over the years they have added topics theorems examples and explanations from various sources. The result is a book that is easy to teach from and easy to learn from — designed to require only minimal prerequisites. Features Suitable for readers with only a basic knowledge of measure theory some topology and a very basic knowledge of functional analysis Perfect as the primary textbook for a course in Ergodic Theory Examples are described and are studied in detail when new properties are presented.

GBP 44.99
1

Applications of Differential Transform to Real World Problems

Applications of Differential Transform to Real World Problems

This book is an invaluable resource for applied researchers to find the analytical solution of differential equations describing the dynamical system with less computational effort and time. It describes the basic concepts of the differential transform method and solution of various real-world problems described by simple to complicated differential equations. It provides a computational technique that is not only conceptually simple and easy to use but also readily adaptable for computer coding. Different chapters of the book deal with the basic differential equations involved in the physical phenomena as well as a complicated system of differential equations described by the mathematical model. The book offers comprehensive coverage of the most essential topics including Basic concepts and fundamental properties of the proposed technique with proof The solution of linear nonlinear homogeneous and nonhomogeneous ordinary differential equations (ODEs) and partial differential equations (PDEs) The initial and boundary value problems Real-world ODE and PDE problems are also discussed Applications of Differential Transform to Real World Problems is primarily aimed at undergraduates graduates and researchers studying differential equations. Scientists dealing with complicated differential equations or systems of differential equations will also find this book useful.

GBP 180.00
1

Introduction to Computational Models with Python

Introduction to Computational Models with Python

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing such as the Numpy and Scipy modules. The Python source code and data files are available on the author’s website. The book’s five sections present: An overview of problem solving and simple Python programs introducing the basic models and techniques for designing and implementing problem solutions independent of software and hardware toolsProgramming principles with the Python programming language covering basic programming concepts data definitions programming structures with flowcharts and pseudo-code solving problems and algorithmsPython lists arrays basic data structures object orientation linked lists recursion and running programs under LinuxImplementation of computational models with Python using Numpy with examples and case studies The modeling of linear optimization problems from problem formulation to implementation of computational modelsThis book introduces the principles of computational modeling as well as the approaches of multi- and interdisciplinary computing to beginners in the field. It provides the foundation for more advanced studies in scientific computing including parallel computing using MPI grid computing and other methods and techniques used in high-performance computing.

GBP 44.99
1

Using the R Commander A Point-and-Click Interface for R

Using the R Commander A Point-and-Click Interface for R

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. tinyurl. com/RcmdrBookThe site includes data files used in the book and an errata list. http://socserv. mcmaster. ca/jfox/Books/RCommander/Writing-Rcmdr-Plugins. pdf Writing R Commander Plug-in Packages | Using the R Commander A Point-and-Click Interface for R

GBP 175.00
1

Exercises and Solutions in Biostatistical Theory

Exercises and Solutions in Biostatistical Theory

Drawn from nearly four decades of Lawrence L. Kupper‘s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts numerous exercises and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations including some of the authors own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks). By working through the exercises and detailed solutions in this book students will develop a deep understanding of the principles of biostatistical theory. The text shows how the biostatistical theory is effectively used to address important biostatistical issues in a variety of real-world settings. Mastering the theoretical biostatistical principles described in the book will prepare students for successful study of higher-level statistical theory and will help them become better biostatisticians.

GBP 175.00
1

Multiplicative Partial Differential Equations

Multiplicative Partial Differential Equations

Multiplicative Partial Differential Equations presents an introduction to the theory of multiplicative partial differential equations (MPDEs). It is suitable for all types of basic courses on MPDEs. The authors' aim is to present a clear and well-organized treatment of the concepts behind the development of mathematics and solution techniques. The text is presented in a highly readable mathematically solid format. Many practical problems are illustrated displaying a wide variety of solution techniques. Features Includes new classification and canonical forms of second-order MPDEs Proposes the latest techniques in solving the multiplicative wave equation such as the method of separation of variables and the energy method Useful in allowing for the basic properties of multiplicative elliptic problems fundamental solutions multiplicative integral representation of multiplicative harmonic functions meant-value formulas strong principle of maximum multiplicative Poisson equation multiplicative Green functions method of separation of variables and theorems of Liouville and Harnack

GBP 99.99
1

Financial Modelling in Commodity Markets

Financial Modelling in Commodity Markets

Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent assess and simulate real assets and financial positions related to the commodity markets. It discusses statistical and mathematical tools important for estimating implementing and calibrating quantitative models used for pricing and trading commodity-linked products and for managing basic and complex portfolio risks. Key features: Provides a step-by-step guide to the construction of pricing models and for the applications of such models for the analysis of real data Written for scholars from a wide range of scientific fields including economics and finance mathematics engineering and statistics as well as for practitioners Illustrates some important pricing models using real data sets that will be commonly used in financial markets

GBP 44.99
1

An Introduction to Excel VBA Programming with Applications in Finance and Insurance

An Introduction to Excel VBA Programming with Applications in Finance and Insurance

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and Insurance introduces readers to the basic fundamentals of VBA Programming while demonstrating applications of VBA to solve real-world problems in finance and insurance. Assuming no prior programming experience and with reproducible examples using code and data this text is suitable for advanced undergraduate students graduate students actuaries and financial analysts who wish to learn VBA. Features: Presents the theory behind the algorithms in detail Includes more than 100 exercises with selected solutions Provides VBA code in Excel files and data to reproduce the results in the book Offers a solutions manual for qualified instructors | An Introduction to Excel VBA Programming with Applications in Finance and Insurance

GBP 44.99
1

Introduction To The Calculus of Variations And Its Applications

Introduction To The Calculus of Variations And Its Applications

This comprehensive text provides all information necessary for an introductory course on the calculus of variations and optimal control theory. Following a thorough discussion of the basic problem including sufficient conditions for optimality the theory and techniques are extended to problems with a free end point a free boundary auxiliary and inequality constraints leading to a study of optimal control theory. | Introduction To The Calculus of Variations And Its Applications

GBP 56.99
1

Image and Video Compression Fundamentals Techniques and Applications

Image and Video Compression Fundamentals Techniques and Applications

Image and video signals require large transmission bandwidth and storage leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus efficient image and video compression algorithms play a significant role in the storage and transmission of data. Image and Video Compression: Fundamentals Techniques and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students researchers and practicing engineers the book presents both basic principles and real practical applications. In an accessible way the book covers basic schemes for image and video compression including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing which retains the most important part of the signal while it is being sensed. | Image and Video Compression Fundamentals Techniques and Applications

GBP 59.99
1

Data Science for Water Utilities Data as a Source of Value

Data Science for Water Utilities Data as a Source of Value

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that with each case study increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. | Data Science for Water Utilities Data as a Source of Value

GBP 44.99
1

Abstract Algebra

Abstract Algebra

Designed for an advanced undergraduate- or graduate-level course Abstract Algebra provides an example-oriented less heavily symbolic approach to abstract algebra. The text emphasizes specifics such as basic number theory polynomials finite fields as well as linear and multilinear algebra. This classroom-tested how-to manual takes a more narrative approach than the stiff formalism of many other textbooks presenting coherent storylines to convey crucial ideas in a student-friendly accessible manner. An unusual feature of the text is the systematic characterization of objects by universal mapping properties rather than by constructions whose technical details are irrelevant. Addresses Common Curricular Weaknesses In addition to standard introductory material on the subject such as Lagrange's and Sylow's theorems in group theory the text provides important specific illustrations of general theory discussing in detail finite fields cyclotomic polynomials and cyclotomic fields. The book also focuses on broader background including brief but representative discussions of naive set theory and equivalents of the axiom of choice quadratic reciprocity Dirichlet's theorem on primes in arithmetic progressions and some basic complex analysis. Numerous worked examples and exercises throughout facilitate a thorough understanding of the material.

GBP 59.99
1

Introduction to non-Kerr Law Optical Solitons

Introduction to non-Kerr Law Optical Solitons

Despite remarkable developments in the field a detailed treatment of non-Kerr law media has not been published. Introduction to non-Kerr Law Optical Solitons is the first book devoted exclusively to optical soliton propagation in media that possesses non-Kerr law nonlinearities. After an introduction to the basic features of fiber-optic communications the book outlines the nonlinear Schrödinger equation (NLSE) conserved quantities and adiabatic dynamics of soliton parameters. It then derives the NLSE for Kerr law nonlinearity from basic principles the inverse scattering transform and the 1-soliton solution. The book also explains the variational principle and Lie transform. In each case of non-Kerr law solitons the authors develop soliton dynamics evaluated integrals of motion and adiabatic dynamics of soliton parameters based on multiple-scale perturbation theory. The book explores intra-channel collision of optical solitons in both Hamiltonian and non-Hamiltonian type perturbations. In addition it examines the stochastic perturbation of optical solitons the corresponding Langevin equations and optical couplers followed by an introduction to optical bullets. Establishing a basis in an important yet insufficiently documented subject Introduction to non-Kerr Law Optical Solitons will help fuel advances in optical communication systems.

GBP 56.99
1

Theoretical Statistics

Theoretical Statistics

A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics emphasizing general concepts rather than mathematical rigor. Chapters 1 through 3 provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters 4 and 5 cover hypothesis testing with simple and null hypotheses respectively. Subsequent chapters discuss non-parametrics interval estimation point estimation asymptotics Bayesian procedure and deviation theory. Student familiarity with standard statistical techniques is assumed.

GBP 180.00
1

Introduction to the Art of Programming Using Scala

Introduction to the Art of Programming Using Scala

With its flexibility for programming both small and large projects Scala is an ideal language for teaching beginning programming. Yet there are no textbooks on Scala currently available for the CS1/CS2 levels. Introduction to the Art of Programming Using Scala presents many concepts from CS1 and CS2 using a modern JVM-based language that works well for both programming in the small and programming in the large. The book progresses from true programming in the small to more significant projects later leveraging the full benefits of object orientation. It first focuses on fundamental problem solving and programming in the small using the REPL and scripting environments. It covers basic logic and problem decomposition and explains how to use GUIs and graphics in programs. The text then illustrates the benefits of object-oriented design and presents a large collection of basic data structures showing different implementations of key ADTs along with more atypical data structures. It also introduces multithreading and networking to provide further motivating examples. By using Scala as the language for both CS1 and CS2 topics this textbook gives students an easy entry into programming small projects as well as a firm foundation for taking on larger-scale projects. Many student and instructor resources are available at www. programmingusingscala. net

GBP 180.00
1