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#### Measuring Statistical Evidence Using Relative Belief

CRC Press 2015; US$ 89.95A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of... more...

#### How to Think About Analysis

Oxford University Press 2014; US$ 23.99Analysis (sometimes called Real Analysis or Advanced Calculus) is a core subject in most undergraduate mathematics degrees. It is elegant, clever and rewarding to learn, but it is hard. Even the best students find it challenging, and those who are unprepared often find it incomprehensible at first. This book aims to ensure that no student need be unprepared.... more...

#### Statistical Power Analysis

Taylor & Francis 2014; US$ 49.95Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry... more...

#### Statistical Hypothesis Testing with SAS and R

Wiley 2014; US$ 97.95A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides... more...

#### What If There Were No Significance Tests?

Taylor and Francis 2013; US$ 125.00This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology. Although the viewpoints span a range of perspectives, the overriding theme that emerges states that significance testing may still be useful if supplemented with some or all of the following -- Bayesian logic, caution,... more...

#### Chi-Squared Goodness of Fit Tests with Applications

Elsevier Science 2013; US$ 147.95Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson?s monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental... more...

#### Multiple Imputation and its Application

Wiley 2012; US$ 78.00A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow... more...

#### Optimization, Simulation, and Control

Springer New York 2012; US$ 129.00Optimization, simulation and control play an increasingly important role in science and industry. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. This volume brings together the latest developments in these areas of research as well as presents applications of these results to... more...

#### Statistical Tools for Measuring Agreement

Springer New York 2012; US$ 99.00Agreement assessments are widely used today. Successful applications in these situations require an understanding of both the underlying theory and practical problems in real-life. This book blends theory and applications while presenting practical examples. more...

#### Single-case and Small-n Experimental Designs

Taylor and Francis 2012; US$ 49.95This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small- n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book?s... more...