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In this paper, an expression for computing the Pearson’s correlation coefficient between the random upper record value, X and the random number of observations, Y is obtained. Also derived are theo...

This is a well written book, offering excellent exposure to visualize and learn from the data. A basic knowledge of statistical theory is enough to read and comprehend this book. This book is dedic...

The book with the title ‘Textbook of Clinical Trials in Oncology: A statistical Perspective’ edited by Susan Halabi and Stefan Michiels fulfils a great need to provide a rich source on statistical ...

The book with the title ‘Bayesian Analysis of Time Series’ by Lyle D. Broemeling is an excellent source to learn time series concepts, methods, expressions, and interpretations from the Bayesian vi...

The readers need to have sufficient background and knowledge in statistical theory, programming, and computing to read, comprehend, and appreciate the rich contents of this book. It is a well-writt...

This well written book is all about learning and interpreting the data evidence via graphs, charts, and pictures. A knowledge of college algebra is needed to read and appreciate the contents of thi...

This is an extremely well-composed book, offering an interdisciplinary exposure to the concepts and methods that are very valuable to perform environmental and ecological data analysis. The contrib...

The book with the title ‘Does Dice Play God? The Mathematics of Uncertainty’ by Ian Stewart is quite fascinating and a great source for learning the fundamentals of uncertainty. Uncertainty is an i...

This well written book offers many advanced statistical methods and their illustration of Lifetime and Reliability Modelling. The readers ought to have sufficient knowledge in statistical theory an...

This well-written book offers the basics of innovative approach to analyse and interpret correlated failure times data. A good background in statistical theory and computing is necessary to read an...

The readers should have background and familiarity in statistical theory, linear models, and regression concepts to read through this book. This well written book offers basics of uncertainty, anal...

In this article, a new bivariate Poisson distribution, called the type-1 imbalanced bivariate Poisson distribution, is introduced for dependence modeling among the random number of visits made by a patient and the number of prescriptions written by a physician. By utilizing the proposed model, the article discovers patterns on the implications of the over-visits made by the patients. This new discrete bivariate Poisson probability mass function is quite interesting and useful to the healthcare researchers. Its statistical properties are derived. The concepts and methodology around its imbalance parameter, $$ \phi $$ , are constructed and illustrated using the Australian Health Survey data for 1997–1998. The data analytic results in the illustration demystify the implications when the patients make more visits to the physician.

This well-composed book is not quite technically written statistics book. Nevertheless, it is an excellent source for learning on how to handle the massive data especially about the crime incidence...

There are three volumes in the series on this topic: item response theory (IRT). What is IRT? Based on scores in a battery of questions in Psychometrics, IRT is a paradigm for designing, analysing,...

This is an excellent book for all those who desire to make use of Microsoft Excel (with Visual Basic for Application), Minitab, and SAS processors in the practice of statistics. Basic knowledge of ...

This is an excellent book for a calculus-based graduate level statistical inference course with Minitab. The exercises are well composed and challenging as they would enhance the students’ learning...

This is an excellent textbook to teach research methodologies in a graduate-level course. While many statistics books concentrate on the quantitative approach to perform research work, this book eq...

This book with the title ‘Computational Information Geometry: For Image and Signal Processing’ was edited by Frank Nielsen, Frank Critchley, and Christopher T. J. Dodson based on the articles prese...

This well written book explains the beautiful applied nature of probability. To comprehend the contents of this easy-to-read book on ‘laws’ of daily lives, background in advanced mathematics is nec...

Mixture modeling in general and expectation–maximization in particular are too cumbersome and confusing for applied health researchers. Consequently, the full potential of mixture modeling is not realized. To remedy the deficiency, this tutorial article is prepared. This article addresses important applied problems in survival analysis and handles them in deeper generality than the existing work, especially from the point of view of taking covariates into account. In specific, the article demonstrates the concepts, tools, and inferencial procedure of mixture modeling using head-and-neck cancer data and survival time after heart transplant surgery data.

This paper has improved several ratio type estimators of the population median including their generalization in the presence of three known quartiles of an auxiliary variable. The properties of the improved estimators are discussed and applied. Both the empirical and simulation studies confirm that our new estimators perform efficiently.

The statistics community is quite involved in analysing data using Windows menu or programming-based software. Of course, programming-based data analysis offers extra facility to tailor the analysi...

This is an excellent source for public health professionals so far as the needed state-of-the-art concepts and methods that are needed to analyse and interpret geostatistical data. Basic knowledge ...

There are three volumes in the series on this topic: item response theory (IRT). What is it? Based on scores in a battery of questions in Psychometrics, IRT is a paradigm for designing, analyzing, ...

Bayesian approach to analyse health systems data is gaining popularity as the field receives periodically new data. Cost-effectiveness as a statistical decision-making process is the main theme of ...

A positive aspect of this well-written practical book is that the readers do not need mathematics background to read and comprehend the contents of this motivating book. Focus is more on easy and d...

Mostly, statisticians and allied researchers resort to quantitative studies in which numerical data are involved. Lately, with the computer oriented professional life of the twenty-first century, r...

This well-written book is all about statistics versus clinical trials. Basic knowledge of calculus and mathematical statistics is essential to understand and appreciate the contents of this book. T...

To learn all up-to-date developments in game theory, this well written is a source. What is game theory? It is structured in terms of mathematical programming to trace and map the optimum seeking d...

Refinement of health care requires the elimination of frauds. This book is all about how statistical and analytical methods could help to reduce health care frauds if not their total elimination. N...