Statistics

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Multivariate Statistical Methods: A Primer, Fourth Edition

Bryan F.J. Manly, Jorge A. Navarro Alberto
October 11, 2016

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the...

Simple Statistical Tests for Geography

Danny McCarroll
October 11, 2016

This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most...

Dental Statistics Made Easy, Third Edition

Nigel C. Smeeton
October 11, 2016

This essential textbook presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further reading and exercises complete with detailed solutions. There is an emphasis on the principles and...

Modeling and Analysis of Stochastic Systems, Third Edition

Vidyadhar G. Kulkarni
October 07, 2016

Building on the author’s more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes its definition,...

Applied Biclustering Methods for Big and High-Dimensional Data Using R

Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen
October 04, 2016

Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering...

Pragmatics of Uncertainty

Joseph B. Kadane
September 27, 2016

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working....

Statistics for Engineering and the Sciences, Sixth Edition Student Solutions Manual

William M. Mendenhall, Terry L. Sincich, Nancy S. Boudreau
September 20, 2016

A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises....

Essentials of a Successful Biostatistical Collaboration

Arul Earnest
September 19, 2016

The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size...

Complex Survey Data Analysis with SAS

Taylor H. Lewis
September 01, 2016

Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of...

Joint Modeling of Longitudinal and Time-to-Event Data

Robert Elashoff, Gang li, Ning Li
August 24, 2016

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival...

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

Nathaniel K Newlands
August 23, 2016

Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity,...

Process Control Techniques for High-Volume Production

M. Kemal Atesmen
August 23, 2016

This book details most common statistical process control tools with many examples for high-volume production. It aims to make elements of high-volume production process control simple and easy to understand. It lets you thoroughly understand process controls instead of blindly trusting software...

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