Here are two books on a topic new to Technometrics: statistical and mathematical demography. The first author of Applied Mathematical Demography wrote the first two editions of this book alone. The second edition was published in 1985. Professor Keyfritz noted in the Preface (p. vii) that at age 90 he had no interest in doing another edition; however, the publisher encouraged him to find a coauthor. The result is an additional focus for the book in the world of biology that makes it much more relevant for the sciences. The book is now part of the publisher’s series on Statistics for Biology and Health. Much of it, of course, focuses on the many aspects of human populations. The new material focuses on mature population models, the particular focus of the new author (see, e.g., Caswell 2000). As one might expect from a book that was originally written in the 1970s, it does not include a lot of information on statistical computing. The new book by Alho and Spencer is focused on putting a better emphasis on statistics in the discipline of demography (Preface, p. vii). It is part of the publisher’s Series in Statistics. The authors are both statisticians, so the focus is on statistics as used for demographic problems. The authors are targeting human applications, so their perspective on science does not extend any further than epidemiology. The book actually strikes a good balance between statistical tools and demographic applications. The authors use the first two chapters to teach statisticians about the concepts of demography. The next four chapters are very similar to the statistics content found in introductory books on survival analysis, such as the recent book by Kleinbaum and Klein (2005), reported by Ziegel (2006). The next three chapters are focused on various aspects of forecasting demographic rates. The book concludes with chapters focusing on three areas of applications: errors in census numbers, financial applications, and small-area estimates.

Univariate Discrete Distributions

The Mauthner cell half a century later: a neurobiological model for decision-making?

Behavioral Risk Factor Surveillance System (BRFSS)

This article brings in two new discrete distributions: multivariate Binomial distribution and multivariate Poisson distribution. Those distributions were created in eventology as more correct generalizations of Binomial and Poisson distributions. Accordingly to eventology new laws take into account full distribution of events. Also, some properties and
characteristics of these new multivariate discrete distributions are described.

https://mpra.ub.uni-muenchen.de/48099/1/MPRA_paper_48099.pdf

Discrete multivariate distributions

http://crctcs.openum.ca/files/sites/60/2019/07/sex_related_reporting_medical_research_preprint.pdf

Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis.

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...

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2019.1628904

Understanding research methods: an overview of the essentials

Measuring research: what everyone needs to know

Encyclopedia of statistics in behavioural science, edited by Brian S. Everitt and David C. Howell, John Wiley and Sons Inc., 111 River Street, MS 8-01, Hoboken, NJ 07030 – 5774, USA, 2nd ed., Vols ...

Encyclopedia of statistics in behavioural science

Six-Sigma is too wonderful and practical concept to ignore when the manufacturers of products, practitioners of health/medical professionals and researchers seek high quality to successfully compet...

Introduction to engineering statistics and lean six sigma: statistical quality control and design of experiments and systems

The automation and machine learning are inevitable in the practice statistical concepts in the twenty-first century. The cause and effect are the central theme often in data-oriented statistical sc...

Ramalingam Shanmugam

Papers

Understanding research methods: an overview of the essentials

Measuring research: what everyone needs to know

Encyclopedia of statistics in behavioural science

Introduction to engineering statistics and lean six sigma: statistical quality control and design of experiments and systems

Elements of causal inference: foundations and learning algorithms