Practical Bayesian Inference
Practical Bayesian Inference

Author: Coryn A. L. Bailer-Jones

Publisher: Cambridge University Press

Published: 2017-04-27

Total Pages: 306

ISBN-13: 1108127673

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Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and compare models in a range of problems. Topics covered include regression, parameter estimation, model assessment, and Monte Carlo methods, as well as widely used classical methods such as regularization and hypothesis testing. The emphasis throughout is on the principles, the unifying probabilistic approach, and showing how the methods can be implemented in practice. R code (with explanations) is included and is available online, so readers can reproduce the plots and results for themselves. Aimed primarily at undergraduate and graduate students, these techniques can be applied to a wide range of data analysis problems beyond the scope of this work.

The SAGE Handbook of Regression Analysis and Causal Inference
The SAGE Handbook of Regression Analysis and Causal Inference

Author: Henning Best

Publisher: SAGE

Published: 2013-12-20

Total Pages: 425

ISBN-13: 1473908353

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′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Models for Probability and Statistical Inference
Models for Probability and Statistical Inference

Author: James H. Stapleton

Publisher: John Wiley & Sons

Published: 2007-12-14

Total Pages: 466

ISBN-13: 0470183403

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This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With detailed theoretical coverage found throughout the book, readers acquire the fundamentals needed to advance to more specialized topics, such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping. Ideal as a textbook for a two-semester sequence on probability and statistical inference, early chapters provide coverage on probability and include discussions of: discrete models and random variables; discrete distributions including binomial, hypergeometric, geometric, and Poisson; continuous, normal, gamma, and conditional distributions; and limit theory. Since limit theory is usually the most difficult topic for readers to master, the author thoroughly discusses modes of convergence of sequences of random variables, with special attention to convergence in distribution. The second half of the book addresses statistical inference, beginning with a discussion on point estimation and followed by coverage of consistency and confidence intervals. Further areas of exploration include: distributions defined in terms of the multivariate normal, chi-square, t, and F (central and non-central); the one- and two-sample Wilcoxon test, together with methods of estimation based on both; linear models with a linear space-projection approach; and logistic regression. Each section contains a set of problems ranging in difficulty from simple to more complex, and selected answers as well as proofs to almost all statements are provided. An abundant amount of figures in addition to helpful simulations and graphs produced by the statistical package S-Plus(r) are included to help build the intuition of readers.

Enemy Brothers
Enemy Brothers

Author: Constance Savery

Publisher: Bethlehem Books

Published: 2001

Total Pages: 256

ISBN-13: 1883937507

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This is a private war formally declared between Tony and the inhabitants of the White Priory. British airman Dym Ingleford is convinced that young Max Eckermann is his brother, Anthony, who was kidnapped years before. Raised in the Nazi ideology, Tony has by chance tumbled into British hands. Dym has brought him back, at least temporarily, to the family he neither remembers nor will acknowledge as his own. As Tony uses his nine attempts to escape, his stubborn anger is wittled away by the patient kindness he finds at the White Priory. Then, just as he is resigning himself to the English family, a new chance suddenly opens for him to return home to Germany.

Statistical Inference
Statistical Inference

Author: Paul H. Garthwaite

Publisher: OUP Oxford

Published: 2002

Total Pages: 346

ISBN-13: 9780198572268

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Statistical inference is the foundation on which much of statistical practice is built. The book covers the topic at a level suitable for students and professionals who need to understand these foundations.

Science Detective Beginning
Science Detective Beginning

Author: Stephen David Fischer

Publisher:

Published: 2004

Total Pages: 0

ISBN-13: 9780894558344

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Science Detective uses topics and skills drawn from national science standards to prepare your child for more advanced science courses and new assessments that measure reasoning, reading comprehension, and writing in science. Grades 3-4.

Building Thinking Skills: (MP 52.01)
Building Thinking Skills: (MP 52.01)

Author: Sandra Parks

Publisher:

Published: 1984

Total Pages: 332

ISBN-13: 9780894553011

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Provides an ... effective tool for implementing analysis skills ... necessary for success in all academic disciplines.