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Secondary Mathematics for Mathematicians and Educators A View from Above

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HyperThinking Creating a New Mindset for the Age of Networks

HyperThinking Creating a New Mindset for the Age of Networks

Hyperthinking is predicated on the assumption that the single most important skill required to help you and your organization thrive in the age of perpetual change digital communications and networks is the mind-set of individuals. This includes your values your ability to learn and ability to adapt to change. After 14 years of experience with leading global companies author Philip Weiss has developed an approach that pulls together the ingredients needed for the modern executive to both adapt and thrive in this new age. The Hyperthinking model has been developed and tested on teams clients and the author‘s networks with great success. The book explains how Hyperthinking can apply to different facets of our lives starting from our personal experience and our role in society and shows how to adapt better to the new business world. Hyperthinking is a set of values and tools that used in combination enable individuals to embrace change develop their creativity and effectively engage in the digital age. It has been tested by a variety of business executives and helped them to understand change as well as overcome fear or resistance to technology. Philip Weiss offers the perfect antidote to information overload; a wonderful blueprint for personal and organizational innovation; and a set of perspectives to help us all make sense of a fast-changing business environment. Read it and start Hyperthinking! | HyperThinking Creating a New Mindset for the Age of Networks

GBP 175.00
1

Nonparametric Statistical Tests A Computational Approach

Nonparametric Statistical Tests A Computational Approach

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs allowing readers to carry out the different statistical methods such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas including the bible and their analyses provide for greatly diversified reading. The book covers: Nonparametric two-sample tests for the location-shift model specifically the Fisher-Pitman permutation test the Wilcoxon rank sum test and the Baumgartner-Weiss-Schindler test Permutation tests location-scale tests tests for the nonparametric Behrens-Fisher problem and tests for a difference in variability Tests for the general alternative including the (Kolmogorov-)Smirnov test ordered categorical and discrete numerical data Well-known one-sample tests such as the sign test and Wilcoxon’s signed rank test a modification suggested by Pratt (1959) a permutation test with original observations and a one-sample bootstrap test are presented. Tests for more than two groups the following tests are described in detail: the Kruskal-Wallis test the permutation F test the Jonckheere-Terpstra trend test tests for umbrella alternatives and the Friedman and Page tests for multiple dependent groups The concepts of independence and correlation and stratified tests such as the van Elteren test and combination tests The applicability of computer-intensive methods such as bootstrap and permutation tests for non-standard situations and complex designs Although the major development of nonparametric methods came to a certain end in the 1970s their importance undoubtedly persists. What is still needed is a computer assisted evaluation of their main properties. This book closes that gap. | Nonparametric Statistical Tests A Computational Approach

GBP 69.99
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NieR Replicant ver.1.22474487139 Europe Steam CD Key