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A review of the book "America's Changing Neighborhoods: An Exploration of Diversity Through Places," edited by Reed Ueda, is presented.

As more and more healthcare providers use EHR in practice and due to the increasing accessibility, EHR data can play a substantial role in healthcare research. Part I (Chapters 2-5) details the data extraction, data cleaning and data preparation for EHR research. The last chapter (Chapter 11) offers some future direction for EHR data research, including resources available to the researchers, and suggests some "post research practices". [Extracted from the article]

Authors carefully examine the internal consistency of various censuses and compare with other demographic information and conclude that this is due to inflation of population estimates in successive censuses until 2001, resulting in an overestimation of Nagaland's population by as much as 36 percent. In other instances, village authorities carefully manipulated census figures resulting in the falsification of headcount. [Extracted from the article]

Christopher K. Wikle, Andrew Zammit-Mangion and Noel Cressie (2019): Spatio-temporal Statistics with R. Chapman and Hall/CRC, 396 pp. As this book is a companion of a well established book on the topic of spatio-temporal statistics, I am going to be critical of the new aspect, the R component. In addition to I what i it also shows I how i to do things in practice, with R. Noel Cressie and Chris Wikle are joined by Andrew Zammit-Mangion (author of the FRK package; Zammit-Mangion and Cressie, forthcoming), who brings in much of the expertise for the R content. [Extracted from the article]

The article analyzes the short story "Verochka," by Anton Chekhov. The author discusses the work of the story's main character Ivan Alexeyevich Ognev which is to process data of statistical studies for publication. The author mentions the involvement of Chekhov with statistics and features the travel of Chekhov in 1890 where he conducted a census of penal colony population in Siberia. Also mentioned was the preparation of Chekhov on the publication of his short story.

With the advent of a new field of engineering that is based on statistical learning models, and, called by varied names such as Data Science, Machine Learning, Artificial Intelligence and so on, analysing and interpreting data using computer programs has become an essential skill that all students of all fields of study have to master. Probability and statistics combined with large data and computer programming is revolutionising many areas of study and is expected to lead to the birth of a new engineering discipline. Thus, in addition to being a good textbook for science (spceifically, physics) students, this can also be a nice supplementary text for other students (such as engineering) who are learning probability and statistics. [Extracted from the article]

i I "The Gaussian distribution can be considered as a special case of the binomial, when the number of tries is sufficiently large." i I "This clearly does not mean that the Poisson distribution has no variance - in that case, it would not be a random variable! It does not account for the discrete nature of these data in the linear regression chapter; or make sense of the three-page derivation of the Gaussian distribution from a Taylor expansion of the Binomial pmf obtained by differentiating in the integer argument. Graph A close friend pointed out this (currently free access) Springer book by physicist Massimiliano Bonamente for its use of the unusual Monte Carlo Markov chain rendering of MCMC. [Extracted from the article]

The monograph belongs to the I Statistics in the Social and Behavioral Sciences Series i , and it is devoted to the statistical description, modeling, and testing of the election process in its various aspects. Chapter 2 of I Polling 399 i continues with the stratified sampling methods which use the estimates weighted by demography (age, gender, race, etc.) and yield the reduced MSE values. Differential invalidation occurs when the counting authority declares some individual ballots invalid and uncountable based on demographic attributes or on the candidate for whom the ballots were cast. [Extracted from the article]

As a doctoral level statistics instructor, my students often tell me that my class is the one they dread most. For the anxious and reluctant statistics student, learning statistics and R simultaneously can be a bitter pill to swallow. [Extracted from the article]

This book offers a good introduction to some statistical methods used in elections. The first part contains four chapters that cover estimation methods for polls. The Benford test is introduced in detail, including its history and its interesting applications in analyzing election data to detect anomaly based on the distributions of the leading digits reported by different precincts. [Extracted from the article]

The article reviews several books on statistics including "Modeling Survival Data Using Frailty Models" by David D. Hanagal, "Extreme Value Methods With Applications to Finance" by Serguei Y. Novak, and "Linear Causal Modeling With Structural Equations" by Stanley A. Mulaik.

The article reviews the book "The Signal and the Noise: Why So Many Predictions Fail--But Some Don't" by Nate Silver.

The article reviews an innovative Evidence-based medicine (EBM) course designed for third- and fourth-year medical students.

The article reviews the book "Fisher, Neyman, and the Creation of Classical Statistics," by Erich L. Lehmann.

The article reviews the book "Introducing Survival and Event History Analysis," by Melinda Mills.

The article reviews the book "Statistical Models: Theory and Practice," by David A. Freeman.