Handbook of Statistical Methods for Case-Control Studies

This handbook provides an in-depth treatment of up-to-date and currently developing statistical met

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Missing and Modified Data in Nonparametric Estimation

The book gives a unified approach to nonparametric curve estimation based on missing and modified d

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Bayesian Inference for Stochastic Processes

The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approa

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Generalized Sylvester Equations

This book presents a unified parametric approach for solving various types of GSEs. In an extremely

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Introduction to Multivariate Analysis

This text shows how to use multivariate analysis to extract useful information from multivariate da

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Constrained Principal Component Analysis and Related Techniques

This book shows how constrained principal component analysis (CPCA) offers a unified framework for

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Circular and Linear Regression

Exploring the recent achievements that have occurred since the mid-1990s, this book explains how to

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Skew-Elliptical Distributions and Their Applications

Reviewing advances in skew-elliptical distributions, this book collates developments, theory, resul

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Advances on Theoretical and Methodological Aspects of Probability and Statistics

At the International Indian Statistical Association Conference, held at McMaster University in Onta

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Statistical Methods for Environmental and Agricultural Sciences

The book emphasizes the practical application of statistics and provides examples in various fields

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Understanding Randomness

This concise, easy-to-follow book stimulates interest and develops proficiency in statistical analy

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Computer-Aided Econometrics

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Basic Statistics and Pharmaceutical Statistical Applications

This popular text covers statistical topics most relevant to those in the pharmaceutical industry a

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Point Processes and Their Statistical Inference

Maintaining the excellent features that made the first edition so popular, this outstanding referen

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Controversial Statistical Issues in Clinical Trials

Written by one of the preeminent experts in the field, this book covers commonly encountered contro

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Fractional Order Processes

The book presents efficient numerical methods for simulation and analysis of physical processes exh

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Control System Analysis and Identification with Matlab(r)

This book covers block pulse and related functions for the analysis and identification of continuou

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Multivariate Kernel Smoothing and Its Applications

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the

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Bayesian Regression Modeling with Inla

This book addresses the applications of extensively used regression models under a Bayesian framewo

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Remote Sensing of Hydrometeorological Hazards

This book focuses on drought, flood, frost, landslides, and storms/cyclones and will cover differen

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Uncertainty Analysis of Experimental Data with R

This book covers methods for evaluation of experimental data commonly encountered in science and en

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Essentials of a Successful Biostatistical Collaboration

The aim of this book is to equip biostatisticians and other quantitative scientists with the necess

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

Accurate sample size calculation ensures that clinical studies have adequate power to detect clinic

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Financial and Actuarial Statistics

This work enables readers to obtain the mathematical and statistical background required in the cur

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Randomized Phase II Cancer Clinical Trials

Suitable for cancer clinicians and biostatisticians, this book explains how to properly select and

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A Course on Statistics for Finance

This text presents statistical methods for financial investment analysis. Providing the connection

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Measures of Interobserver Agreement and Reliability

Exploring applications in medical research and clinical epidemiology, this text continues to cover

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Handbook of Adaptive Designs in Pharmaceutical and Clinical Development

This handbook provides a comprehensive and unified presentation of the principles and latest statis

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book pres

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Randomization Tests

Building on the previous editions that have served as standard textbooks and references for more th

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Statistical Inference Based on Divergence Measures

Organized in systematic way, Statistical Inference Based on Divergence Measures presents classical

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Handbook of Stochastic Analysis and Applications

An introduction to general theories of stochastic processes and modern martingale theory. The volum

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. Th

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Theory of Probability

The sixth edition is a major revision over the fifth. It contains new material and results on the L

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White Noise Distribution Theory

Learn the basics of white noise theory with White Noise Distribution Theory. This book covers the m

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Cyclic and Computer Generated Designs

The book is primarily concerned with the construction and analysis of designs with a number of diff

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Truncated and Censored Samples

This book deals with the development of methodology for the analysis of truncated and censored samp

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Statistical Issues in Drug Research and Development

This book is a compilation of topics addressed by the ASA Biopharmaceutical Section work groups, in

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Robust Regression

Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much t

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Goodness-Of-Fit-Techniques

Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction

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Lognormal Distributions

Presenting the first comprehensive review of the subject's theory and applications inmore than 15 y

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Handbook of Beta Distribution and Its Applications

A milestone in the published literature on the subject, this first-ever Handbook of Beta Distributi

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Stochastic H2/H ∞ Control: A Nash Game Approach

The H∞ control has been one of the important robust control approaches since the 1980s. This book e

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Advances on Methodological and Applied Aspects of Probability and Statistics

This is one of two volumes that sets forth invited papers from the International Indian Statistical

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Bayesian Analysis Made Simple

From simple NLMs to complex GLMMs and beyond, this book describes how to use the GUI for WinBUGS-Bu

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Bayesian Demographic Estimation and Forecasting

Demographic estimation and forecasting is an important practical problem. Population projections ar

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U-Statistics

In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from whic

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Statistical Techniques for Data Analysis

Since the first edition of this book appeared, computers have come to the aid of modern experimente

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