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#### Prozessoptimierung

De Gruyter 2014; US$ 56.00This textbook guides the reader through all stages of process optimization, from the investigation and presentation of empirical prior data to the planning and analysis of independent statistical experimental designs. It focuses on the proven methods relevant to practice and avoids excessively technical scientific descriptions. Practical... more...

#### Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference

Springer 2013; US$ 199.00The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from... more...

#### Introductory Statistical Inference

CRC Press 2006; US$ 115.95Probability and Distributions Introduction About Sets Axiomatic Development of Probability Conditional Probability and Independent Events Discrete Random Variables Continuous Random Variables Some Useful Distributions Exercises and Complements Moments and Generating Functions Introduction Expectation and Variance Moments and Moment Generating... more...

#### Statistical Inference

CRC Press 2010; US$ 109.95Theories of Statistical Inference Example Statistical models The likelihood function Theories Nonmodel-based repeated sampling Conclusion The Integrated Bayes/Likelihood Approach Introduction Probability Prior ignorance The importance of parametrization The simple/simple hypothesis testing problem The simple/composite hypothesis testing... more...

#### A Whistle-Stop Tour of Statistics

CRC Press 2011; US$ 45.95"I think that Everitt has been quite successful. All the standard topics, such as probability, estimation, hypothesis testing, analysis of variance, and regression, are discussed. The discussion is short, to the point, readable, and reliable. In addition, there are the more ?advanced? topics of logistic regression, survival analysis, longitudinal... more...

#### An Introduction to Statistical Inference and Its Applications with R

CRC Press 2009; US$ 94.95Experiments Examples Randomization The Importance of Probability Games of Chance Mathematical Preliminaries Sets Counting Functions Limits Probability Interpretations of Probability Axioms of Probability Finite Sample Spaces Conditional Probability Random Variables Case Study: Padrolling in Milton Murayama?s All I asking for is... more...

#### Introduction to the Theory of Statistical Inference

CRC Press 2013; US$ 75.95? it provides in-depth explanations, complete with proofs, of how statistics works. ? The book has several user-friendly aspects. One is the use of eight example data sets to illustrate the theory throughout the text. This repeated use of the same examples allows readers to focus their energy on applying a theoretical point under discussion to a familiar... more...

#### Information and Exponential Families in Statistical Theory

Wiley 2014; US$ 90.00First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects... more...

#### Statistical Theory

CRC Press 2013; US$ 69.95Introduction Preamble Likelihood Sufficiency Minimal sufficiency Completeness Exponential family of distributions Point Estimation Introduction Maximum likelihood estimation Method of moments Method of least squares Goodness-of-estimation. Mean squared error. Unbiased estimation Confidence Intervals, Bounds, and Regions... more...

#### Introduction to Mixed Modelling

Wiley 2014; US$ 107.50Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained.... more...