Search

In this book review, I offer a chapter-by-chapter recension and general comments about Richard McElreath's second edition of Statistical Rethinking: A Bayesian Course with Examples in R and STAN. Two examples of linear regression modeling and the generalized linear model with the book's own R package rethinking highlight the flexibility and usefulness of considering the Bayesian approach to statistical modeling advertised by McElreath. [ABSTRACT FROM AUTHOR]

The PRC was eager to build a new statistics bureaucracy that marked a break with capitalist statistics: "a new statistics for a new China" (p. 4). The nascent People's Republic of China (PRC) entertained a profoundly ambiguous relationship with the theory and practice of statistics over the period of the "seventeen years" from its founding to the Cultural Revolution. [Extracted from the article]

As Winter emphasises throughout the book, statistical modelling instead encourages us to think more deeply about what the data actually look like, which mathematical functions would be useful to fit the data and what meanings we can extract from the data. For example, in my own statistics training during my graduate study, I was told that we should include as many factors as possible in ANOVA to soak up variance, but Winter has informative discussion on why this is bad practice, and argues that model construction should be a subjective, theory-driven process (see especially §16.5). Winter repeatedly argues that it is important that the data and the code are published together with a paper, in order to promote open and reproducible research practice in linguistics. Finally, another aspect which makes this book special as a textbook is that Winter challenges some common practices in the field. [Extracted from the article]

The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences: by Roger Bowden. The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences by Roger Bowden. Chapter 1 introduces the basic ideas of partition entropy and its relationship with classic Shannon entropy. [Extracted from the article]

KEY POINTS: Statistical Analysis of Ecotoxicity Studies — Glenn SuterTroubled Water: What's Wrong with What we Drink — Richard WenningOverrun: Dispatches from the Asian Carp Crisis — Glenn SuterStronghold: One Man's Quest to Save the World's Wild Salmon — Glenn SuterScience Diction — Glenn Suter [ABSTRACT FROM AUTHOR]

The article reviews the book "The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives," by Stephen T. Ziliak and Deirdre N. McCloskey.

In conclusion, I A First Course in Linear Model Theory i is an excellent graduate-level textbook that comprehensively covers the now classical linear regression model. Chapters 10-11 discuss fixed-, random-, and mixed-effects models; Chapter 12 covers generalized linear models (GLM); and Chapters 13-14 briefly touch upon various special topics, such as multivariate models, Bayesian linear regression models, nonparametric regression, and regularized regression. I A First Course in Linear Model Theory i is an excellent graduate-level textbook that offers a comprehensive collection of results on the classical linear model. [Extracted from the article]

A data scientist explains the common pitfalls of statistical analysis. [ABSTRACT FROM AUTHOR]

Multiple problems are described, including mixture distributions, Bayesian statistics, random sums, bivariate normal pdf and linear regression, copula and geometric probabilities, optimal portfolio allocation and correlated stocks, Markowitz and probability bullet, and order statistics. Chapter 4: I Four important distributions in statistics i , deals with the widely used multivariate normal, chi-squared, Student I t i -, and Fisher I F i - distributions. The book belongs to I Wiley Series in Probability and Statistics i , and presents a comprehensive account on theoretical and computational statistics with practical applications and examples implemented in the R statistical software and its packages. [Extracted from the article]

In 12 carefully curated chapters, the authors of the various chapters and editors of this book have captured in one place the most important concepts in statistical hydrology. The next chapter discusses the application of probability distributions in groundwater hydrology. Any book on hydrology has at least one chapter devoted to the statistical treatment of hydrological data. [Extracted from the article]

In I Making it Count i , Arunabh Ghosh powerfully directs our attention to the all-to-often overlooked politics of numbers. In the context of the early People's Republic of China (PRC), Ghosh deftly exposes the assumptions, beliefs, and fears embedded in the systems of counting that shaped so much of political, social, and economic life then and continue to influence our lives today. [Extracted from the article]

A review of the book "The Art of Statistics: How to Learn From Data," by David Spiegelhalter, is presented.

The book is divided into two main parts, respectively entitled "Methods in Corpus Linguistics" (Chapters 2 to 6) and "Statistics for Corpus Linguistics" (Chapters 7 to 10). These two chapters lay the groundwork for Chapters 4, 5 and 6, entitled "Processing and Manipulating Character Strings", "Applied Character String Processing" and "Summary Graphics for Frequency Data", respectively. Chapter 5, "Applied Character String Processing" (pp. 87-114), accompanies the reader in generating concordances and frequency lists with R, firstly from unannotated, and secondly from annotated corpora. [Extracted from the article]

John Starr, in what began as his Edinburgh PhD thesis supervised by Professors Timothy Lim and April McMahon, has accomplished what perhaps he alone is qualified to do: apply advanced statistical methods to classify a dead language such as Qumran Aramaic (QA). (Dan 5:17); 4Q113: (Dan 2:29; 6:3), (Dan 6:2, 27); 4Q115: (Dan 3:18); 4Q117: (Ezra 4:12-13 [2x]; 5:8; 6:8; 7:23, 26 [2x]), (6:10; 7:25). [Extracted from the article]

The article reviews the book "The Truth About Hoover," by J. Edgar Hoover.

Reading I Making It Count i from this perspective reminds one of how much more there is to discover (and for now, how much we won't know) about the early formation of the PRC state. Arunabh Ghosh, Making It Count: Statistics and Statecraft in the Early People's Republic of China: (Princeton, NJ: Princeton University Press, 2020), 340p. In this fascinating account of states and statistics in the early People's Republic of China (PRC), Arunabh Ghosh explores the statistical agencies of a state with revolutionary aspirations but limited capacity to enumerate the society that it sought to transform. [Extracted from the article]

The book with the title "Discovering Statistics and Data" by James S. Hawkes is well written from the point of undergraduate students. The book with the title "Statistics: Informed Decisions Using Data" by Michael Sullivan III is another well written book. 1] Beginning statistics, by Carolyn Warren, Kimberly Denley and Emily Atchley, Mount Pleasant, SC, Hawkes Learning Press, 2021, 903+xix pp., $58.67 (hardcover), ISBN: 978-1-64277-111-4 2] Discovering statistics and data, by James S. Hawkes, Mount Pleasant, SC, Hawkes Learning Press, 2020, 894+xiii pp., $68.25 (hardcover), ISBN: 978-1-64277-111-4 3] Statistics: informed decisions using data, by Michael Sullivan III, London, Pearson Learning Press, 2017, Pearson.com, 815+xxiv pp., $191.99 (hardcover), ISBN-13: 9780134133539 4] Mind on dtatistics, by Jessica M. Utts and Robert F. Heckard, Boston, MA, Cengage Learning Press, 2020, 739+xxiii pp., $119.99 (hardcover), ISBN-13: 9781285770208 This well written book with the title "Beginning Statistics, by Warren, Denley, and Atchley" will be liked by the undergraduate students. [Extracted from the article]

Chapter 15 (Newman) is on modeling species population demography, a concept that encompasses ideas on species abundance and population dynamics from earlier chapters. Chapter 31 (Davison et al.) extends the concepts on modeling extremes from Chapter 8 to the spatially explicit context introduced back in Chapters 5 and 6. Chapters 5 (Banerjee) and 6 (Illian) are devoted to geostatistical modeling frameworks for point-level or georeferenced data; while Chapter 6 is titled "Spatial and spatio-temporal point processes in ecological applications", the discussion on spatio-temporal point processes resembles a chapter footnote. [Extracted from the article]

The article reviews the book "The Conservative Mind," by Russell Kirk.

The article reviews the book "The New Science of Politics," by Eric Voegelin.

The article reviews the book "The Physiology of Taste," by Jean Brillat-Savarin.

The article reviews several books, including "In a Darkness," by James A. Wechsler, "The Savage God," by A. Alvarez, and "Suicide," by Jacques Choron.

The article focuses on reviewing the book "Essentials of Biostatistics and Research Methodology," detailing its comprehensive coverage of biostatistics and research techniques. Divided into two major sections and containing a total of 17 chapters, the book covers topics ranging from basic statistics to analytical methods, research methodology, data collection, ethical considerations, and publication techniques.

A review of the book "The Signal and the Noise: Why Most Predictions Fail--But Some Don't" by Nate Silver is presented.

By the time the information criteria are introduced in Section 7.4, one understands that these criteria are really just estimates of the out-of-sample Kullback-Leibler divergence of a regression model. At a more sophisticated level, McElreath uses a normal approximation to the posterior for the regression models in Chapters 4-6. Simulation is introduced early for posterior and predictive calculations for the grid approximation and normal approximation methods. [Extracted from the article]

Difference Equations, Discrete Dynamical Systems and Applications: ICDEA 23, Timisoara, Romania, July 24-28, 2017: by edited by Saber Elaydi, Christian Pötzsche, and Adina Luminita Sasu, (Springer Proceedings in Mathematics & Statistics, ISBN 978-3-030-20015-2 ISBN 978-3-030-20016-9 (eBook) https://doi.org/10.1007/978-3-030-20016-9, 382 pages), 1st ed. 2019 Edition Difference Equations, Discrete Dynamical Systems and Applications: ICDEA 23, Timisoara, Romania, July 24-28, 2017, by edited by Saber Elaydi, Christian Pötzsche, and Adina Luminita Sasu, (Springer Proceedings in Mathematics & Statistics, ISBN 978-3-030-20015-2 ISBN 978-3-030-20016-9 (eBook) https://doi.org/10.1007/978-3-030-20016-9, 382 pages), 1st ed. 2019 Edition The book I Difference Equations, Discrete Dynamical Systems and Applications i , edited by Saber Elaydi, Christian Pötzsche and Adina Luminita Sasu, represents selected contributions from the 23rd International Conference on Difference Equations and Applications (ICDEA 2017), which was held at West University of Timisoara, Romania, July 24-28, 2017. These papers provide various aspects in different spaces such as Banach Space, Hilbert Space, or Euclidean Space, to analyze the dynamical properties of difference equations, including the delayed difference equations, nonautonomous difference equations, cubic difference equations and so on. [Extracted from the article]

Based on lessons learned, Zeitlin and Auerbach organize each chapter by first describing and defining basic statistical concepts and tests, followed by formulas used to manually calculate certain statistics. As a social work educator and quantitative social scientist, I found the book to be a welcome addition to the current research methods and statistics texts. I currently teach quantitative research methods and statistics to social work students and use the IBM SPSS® software platform in the classroom. [Extracted from the article]

There is extensive historical commentary, severe testing is a strong theme, and null hypothesis significance testing gets a remake. The statistics wars continue on! [ABSTRACT FROM AUTHOR]