Statistics

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Competitive Math for Middle School: Algebra, Probability, and Number Theory

Vinod Krishnamoorthy
March 06, 2018

The 39 self-contained sections in this book present worked-out examples as well as many sample problems categorized by the level of difficulty as Bronze, Silver, and Gold in order to help the readers gauge their progress and learning. Detailed solutions to all problems in each section are provided...

Data Stewardship for Open Science: Implementing FAIR Principles

Barend Mons
March 05, 2018

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern...

A Guide to Outcome Modeling In Radiotherapy and Oncology: Listening to the Data

Issam El Naqa
March 02, 2018

This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant...

The Mata Book: A Book for Serious Programmers and Those Who Want to Be

William Gould
February 26, 2018

The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata. What makes Mata serious is that it provides...

Bayesian Regression Modeling with INLA

Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway
February 22, 2018

This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to...

Principles of Biostatistics, Second Edition

Marcello Pagano, Kimberlee Gauvreau
February 16, 2018

This edition is a reprint of the second edition published in 2000 by Brooks/Cole and then Cengage Learning. Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard...

R Programming and Its Applications in Financial Mathematics

Shuichi Ohsaki, Jori Ruppert-Felsot, Daisuke Yoshikawa
February 12, 2018

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate students to grasp an overview of the theory of finance in an abstract form. For newcomers to the finance industry, it is not always obvious how to apply the abstract theory...

Environmental Systems Analysis with MATLAB®

Stefano Marsili-Libelli
February 12, 2018

Explore the inner workings of environmental processes using a mathematical approach. Environmental Systems Analysis with MATLAB® combines environmental science concepts and system theory with numerical techniques to provide a better understanding of how our environment works. The book focuses on...

Statistics in the Health Sciences: Theory, Applications, and Computing

Albert Vexler, Alan Hutson
February 07, 2018

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of...

Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design, Fourth Edition

Max Vercruyssen, Hal W. Hendrick
February 05, 2018

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis,...

Chain Event Graphs

Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith
January 31, 2018

   Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of...

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

Athanasios Christou Micheas
January 29, 2018

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks;...

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