Young G.A., Smith R.L., Essentials of Statistical Inference

South Western, 2008. - 672 pages. Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. Essentials of Statistics for Business and Economics, 5e, includes all of the strengths of the longer best-selling Anderson/Sweeney/Williams Essentials of Statistics for Business and Economics, with a focus on the most important core topics for a concise presentation that's...

South-Western College Pub, 2010. - 683 pages. 6th Edition The Sixth Edition of "Essentials of Statistics for Business and Economics" is an introductory statistics book that emphasizes essential statistical concepts and their practical business applications. The discussion and development of each technique are geared toward real-world applications, with the statistical results providing insights for decisions and solutions related to common busi...

Prentice Hall, 1997. - 445 Pages. This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write...

Charles Griffin & Company Limited, 1946. - 521 pages. PREFACE TO VOLUME II This volume falls into five sections. The first, comprising chapters 17 to 20, deals with Estimation. The second, comprising chapters 21, 23, 24 and 26 to 28, covers the Theory of Statistical Tests, including the Analysis of Variance and Multivariate Analysis. The third, consisting of chapter 22, deals with Regression Analysis and completes the account of statistical...

Springer, 2008. - 474 Pages. This textbook is for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities: sampling, measurement and inference. The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying of human populations. Elemen...

Springer, 672 pages, 2010. This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory.

For Dummies, 2010. - 192 pages. Statistics Essentials For Dummies not only provides students enrolled in Statistics I with an excellent high-level overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses. Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of esse...

Duxbury Press, 1995. - 838 pages. This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection between statistical theory and statistical methodology. The writing of...

Prentice Hall, 2011. - 816 pages. 9th edition This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

John Wiley & Sons (Asia) Pte Ltd, 2010. - 312 pages. Bayesian inference is a statistical process that quanti?es the degree of belief of hypothesis, events or values of parameters. Many Bayesian methods have been developed in various areas of science and engineering, especially in statistical physics, medical sciences, electrical engineering, and information sciences, etc. This book presents various applications in civil engineering, includin...