An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)
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APPROACHES TO QUANTITATIVE RESEARCH is designed for both undergraduate and postgraduate business students who are planning to undertake a research project or dissertation. Due to a lack of formal…
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Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to…
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Praise for the First Edition". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis."—Journal of the American Statistical Association Features newly…
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This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of…
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This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp…
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A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the…
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In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully…
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This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson…
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Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic…
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