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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...

Textbook of Clinical Trials in Oncology: A Statistical Perspective

1st Edition

Susan Halabi, Stefan Michiels
May 16, 2019

There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for...

The Analysis of Time Series: An Introduction with R

7th Edition

Chris Chatfield, Haipeng Xing
May 09, 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...

Analysis of Integrated Data

1st Edition

Li-Chun Zhang, Raymond L. Chambers
May 08, 2019

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable...

Handbook of Biomarkers and Precision Medicine

1st Edition

Claudio Carini, Mark Fidock, Alain van Gool
May 01, 2019

"The field of Biomarkers and Precision Medicine in drug development is rapidly evolving and this book presents a snapshot of exciting new approaches. By presenting a wide range of biomarker applications, discussed by knowledgeable and experienced scientists, readers will develop an appreciation of...

Bayesian Analysis of Time Series

1st Edition

Lyle D. Broemeling
April 23, 2019

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters....

R For College Mathematics and Statistics

1st Edition

Thomas Pfaff
April 22, 2019

R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for...