Statistics

Per Page:
Sort:

Multilevel Modeling Using R

2nd Edition

Featured

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how ...

The Analysis of Time Series: An Introduction with R

7th Edition

Featured

Chris Chatfield, Haipeng Xing
May 9, 2019

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear s...

Spatio-Temporal Statistics with R

1st Edition

Featured

Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie
February 18, 2019

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics w...

A Computational Approach to Statistical Learning

1st Edition

Featured

Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal work...

Geocomputation with R

1st Edition

Featured

Robin Lovelace, Jakub Nowosad, Jannes Muenchow
March 25, 2019

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skill...

Analysis of Incidence Rates

1st Edition

Featured

Peter Cummings
April 15, 2019

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate studen...

Bringing Bayesian Models to Life

1st Edition

Mevin B. Hooten, Trevor J. Hefley
June 11, 2019

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms allow the user to fit...

Reliability and Maintenance: Networks and Systems

1st Edition

Frank Beichelt, Peter Tittmann
June 07, 2019

Reliability and Maintenance: Networks and Systems gives an up-to-date presentation of system and network reliability analysis as well as maintenance planning with a focus on applicable models. Balancing theory and practice, it presents state-of-the-art research in key areas of reliability and...

Introduction to Data Analysis with R for Forensic Scientists

1st Edition

James Michael Curran
June 07, 2019

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic...

Statistics for Business

1st Edition

Perumal Mariappan
June 04, 2019

Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical...

Forest Biometrics with Examples in R

1st Edition

Lauri Mehtatalo, Juha Lappi
June 01, 2019

...

Advanced R, Second Edition

2nd Edition

Hadley Wickham
May 30, 2019

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the...

Data Science for Wind Energy

1st Edition

Yu Ding
May 24, 2019

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance...

Robust Statistical Methods with R, Second Edition

2nd Edition

Jana Jurečková, Jan Picek, Martin Schindler
May 23, 2019

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model...

Mixture Modelling for Medical and Health Sciences

1st Edition

Shu Kay Ng, Liming Xiang, Kelvin Kai Wing Yau
May 21, 2019

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical...

Time Series: A Data Analysis Approach Using R

1st Edition

Robert Shumway, David Stoffer
May 21, 2019

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential...

Multilevel Modeling Using R

2nd Edition

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how...

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach

1st Edition

Ross L. Prentice, Shanshan Zhao
May 16, 2019

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of...

Conferences

Year: