Statistics

Statistical Theory & Methods

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Inferential Models: Reasoning with Uncertainty

1st Edition

Ryan Martin, Chuanhai Liu
September 25, 2015

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors’ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior...

Models for Dependent Time Series

1st Edition

Granville Tunnicliffe Wilson, Marco Reale, John Haywood
July 29, 2015

Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and...

Time Series Modelling with Unobserved Components

1st Edition

Matteo M. Pelagatti
July 28, 2015

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved...

Data Analysis with Competing Risks and Intermediate States

1st Edition

Ronald B. Geskus
July 14, 2015

Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results....

Practical Guide to Logistic Regression

1st Edition

Joseph M. Hilbe
July 09, 2015

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research,...

Power Analysis of Trials with Multilevel Data

1st Edition

Mirjam Moerbeek, Steven Teerenstra
July 07, 2015

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power...

Basics of Matrix Algebra for Statistics with R

1st Edition

Nick Fieller
July 06, 2015

A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics,...

Handbook of Design and Analysis of Experiments

1st Edition

Angela Dean, Max Morris, John Stufken, Derek Bingham
June 26, 2015

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25...

Measuring Statistical Evidence Using Relative Belief

1st Edition

Michael Evans
June 23, 2015

A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical...

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications

1st Edition

Vidyadhar S. Mandrekar, Leszek Gawarecki
June 23, 2015

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The book begins with...

Statistical Learning with Sparsity: The Lasso and Generalizations

1st Edition

Trevor Hastie, Robert Tibshirani, Martin Wainwright
May 07, 2015

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents...

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

1st Edition

Deborah Nolan, Duncan Temple Lang
April 21, 2015

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

Conferences

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