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Open AccessJournal Article

Univariate Discrete Distributions

J. Wade Davis
- 01 Jan 2006 - 
- Vol. 101, Iss: 475, pp 1319
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TLDR
Alho and Spencer as discussed by the authors published a book on statistical and mathematical demography, focusing on mature population models, the particular focus of the new author (see, e.g., Caswell 2000).
Abstract
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.

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References
More filters
Journal ArticleDOI

Generalized Additive Models for Location Scale and Shape (GAMLSS) in R

TL;DR: GAMLSS as discussed by the authors is a general framework for fitting regression type models where the distribution of the response variable does not have to belong to the exponential family and includes highly skew and kurtotic continuous and discrete distribution.
Journal ArticleDOI

DAMBE5: a comprehensive software package for data analysis in molecular biology and evolution

TL;DR: Since its first release in 2001 as mainly a software package for phylogenetic analysis, data analysis for molecular biology and evolution (DAMBE) has gained many new functions that may be classified into six categories.
Journal ArticleDOI

On the Failure of the Bootstrap for Matching Estimators

TL;DR: In this article, the authors show that the standard bootstrap is not valid for matching estimators, even in the simple case with a single continuous covariate where the estimator is root-N consistent and asymptotically normally distributed with zero as-ymptotic bias.
Journal ArticleDOI

Assembling large genomes with single-molecule sequencing and locality-sensitive hashing

TL;DR: The MinHash Alignment Process (MHAP) is introduced for overlapping noisy, long reads using probabilistic, locality-sensitive hashing and can produce de novo near-complete eukaryotic assemblies that are 99.99% accurate when compared with available reference genomes.
Journal ArticleDOI

Problems with fitting to the power-law distribution

TL;DR: In this article, the authors used a simple experiment to show that fitting to a power law distribution by using graphical methods based on linear fit on the log-log scale is biased and inaccurate.