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Statistical Modeling and Computation

integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and;

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Statistical Computation for Environmental Sciences in R

computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift;

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Models for Ecological Data

computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift;

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Modeling and Computation in Engineering II

Modeling and Computation in Engineering II (CMCE 2013, Hong Kong, 22-23 June 2013) includes 50 contributions on modeling and simulation;

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Core Statistics

parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and;

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Core Statistics

parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and;

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Modeling and Computation in Engineering III

The demands of modeling and computation in engineering are rapidly growing as a multidisciplinary area with connections to engineering;

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Modeling, Computation And Optimization

This volume provides recent developments and a state-of-the-art review in various areas of mathematical modeling, computation and;

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Introductory Statistical Inference with the Likelihood Function

This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and;

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Time Series

inference, statistical computation for model fitting and assessment, and forecasting. It explores the connections between time- and frequency-domain;

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Computation of Multivariate Normal and t Probabilities

Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages;

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Extreme Value Modeling and Risk Analysis

Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events;

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Computation

The laws and methodology of physics are starting to provide powerful insights into the nature and dynamics of computation. This book;

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Modeling Survival Data

This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building;

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Essential Bayesian Models

This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook;

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Time Series

presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment;

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Handbook of Parallel Computing and Statistics

, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the;

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Recent Developments in Mathematical, Statistical and Computational Sciences

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range;

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Pricing Analytics

the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly;

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Pricing Analytics

get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory;

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Statistical Power Analysis for the Social and Behavioral Sciences

techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical;

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Statistical Power Analysis for the Social and Behavioral Sciences

techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical;

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Recent Advances in Mathematical and Statistical Methods

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling;

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Symbolic Computation for Statistical Inference

Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new;

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Energy Risk Modeling

Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Statistical Methods in Medical Research

was reprinted six times. This new edition continues to cover basic principles, techniques of varying complexity, and applied statistical methods, and;

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