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Mathematical Statistics with Resampling and R
Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Information Theory and Statistical Learning
Information Theory and Statistical Learning
This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understanding and developing the sophisticated machine learning methods necessary not only...
Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
'This second edition remains true to the remarkable standards of scholarship established by the first edition ... it will no doubt be a very welcome addition to the literature.' Peter W. Glynn, Prologue to the Second Edition

Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to
...
Spatial Analysis, GIS and Remote Sensing: Applications in the Health Sciences
Spatial Analysis, GIS and Remote Sensing: Applications in the Health Sciences
This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography. For the practitioner or researcher this book is full of useful techniques if your work applies to environmental and public health, biostatistics, epidemiology, health services, medical geography,...
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
From the reviews:

"This interesting monograph is devoted to the study of multi-agent, populations of biological cells and robot teams. … The main objective of the approach is to provide solutions to the problem of how dynamics of an individual agent propagates to the population dynamics. … This original monograph has a wide...

Case Studies in Bayesian Statistical Modelling and Analysis
Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models

This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the...

Society and Health: Sociology for Health Professionals
Society and Health: Sociology for Health Professionals

The publication of Society and Health: Sociology for Health Professionals represents the results of an information-gathering process that has extended over a 30-year career as a health professional. It reflects a determination to frame medical sociology as a multidisciplinary endeavor that must, of necessity, draw information from a wide...

Statistical Applications for Health Information Management
Statistical Applications for Health Information Management
Published in conjunction with the American Health Information Management Association (AHIMA), Statistical Applications for Health Information Management, Second Edition covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). The text provides the essential theory...
Basic Statistics Using SAS Enterprise Guide: A Primer
Basic Statistics Using SAS Enterprise Guide: A Primer

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences,...

Categorical Data Analysis With Sas and Spss Applications
Categorical Data Analysis With Sas and Spss Applications

This book is primarily designed for a senior undergraduate class in Categorical Data Analysis and for majors in biomedical, biostatistics and statistics programs, but can also be used as reference text for researchers working in the area, and /or for an introductory text in a graduate course on the subject. A prerequisite of a one year...

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