Statistics

PUBLISHED


Viewing: 1 - 10 of 1023
Published:
August 21, 2014
Editor(s):
Arthur Charpentier
A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers 
Published:
August 19, 2014
Author(s):
Alexander Tartakovsky, Igor Nikiforov, Michele Basseville
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent 
Published:
August 19, 2014
Author(s):
Helio S. Migon, Dani Gamerman, Francisco Louzada
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on 
Published:
August 19, 2014
Author(s):
Robert M. O'Brien
Develop a Deep Understanding of the Statistical Issues of APC Analysis Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include 
Published:
August 15, 2014
Author(s):
Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato
Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates 
Published:
August 15, 2014
Author(s):
Geoff Der, Brian S. Everitt
Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they 
Published:
August 13, 2014
Author(s):
Vladimir I. Rotar
Actuarial Models: The Mathematics of Insurance, Second Edition thoroughly covers the basic models of insurance processes. It also presents the mathematical frameworks and methods used in actuarial modeling. This second edition provides an even smoother, more robust account of the main ideas and 
Published:
August 11, 2014
Author(s):
Christopher R. Bilder, Thomas M. Loughin
Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses 
Published:
August 05, 2014
Author(s):
Thomas A. Severini
The Most Useful Techniques for Analyzing Sports Data One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and 
Published:
August 01, 2014
Author(s):
Rachel S. McCrea, Byron J. T. Morgan
An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the 

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