Statistics

Statistical Theory & Methods

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Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data

1st Edition

Michael Friendly, David Meyer
December 17, 2015

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and...

Handbook of Cluster Analysis

1st Edition

Christian Hennig, Marina Meila, Fionn Murtagh, Roberto Rocci
December 01, 2015

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and...

Mathematical Statistics: Basic Ideas and Selected Topics, Volumes I-II Package

1st Edition

Peter .J. Bickel, Kjell A. Doksum
December 01, 2015

Volume I presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. Volume II covers a number of topics that are important in...

Spatial Point Patterns: Methodology and Applications with R

1st Edition

Adrian Baddeley, Ege Rubak, Rolf Turner
November 24, 2015

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques...

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II

1st Edition

Peter J. Bickel, Kjell A. Doksum
November 02, 2015

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors’ previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in...

Missing Data Analysis in Practice

1st Edition

Trivellore Raghunathan
October 28, 2015

Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both...

Handbook of Statistical Distributions with Applications

2nd Edition

K. Krishnamoorthy
October 23, 2015

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along...

Empirical Research in Software Engineering: Concepts, Analysis, and Applications

1st Edition

Ruchika Malhotra
October 05, 2015

Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and...

Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

1st Edition

Victor Patrangenaru, Leif Ellingson
September 25, 2015

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications...

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...

Conferences

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