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Advances In Statistical Modeling And Inference

computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of these developments;

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Statistical Modeling and Inference for Social Science

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Statistical Modeling & Inference for Soc

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Semimartingales and Their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Statistical Methods for Spatio-Temporal Systems

promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by;

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Statistical Methods Of Spatio-Temporal Systems

promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by;

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Statistical Modeling and Computation

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical;

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Hierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods;

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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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Advances in Info-Metrics

is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under;

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Sense and Nonsense of Statistical Inference: Controversy

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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Sense and Nonsense of Statistical Inference

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Econometric Modeling

-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough;

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Modeling in Medical Decision Making

amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making;

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Model Based Inference in the Life Sciences: A Primer on Evidence

science philosophy based on multiple working hypotheses and statistical models to represent them. The text is written for people new to the;

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Statistical Models and Causal Inference

foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and;

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Statistical Models & Causal Inference

foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and;

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Statistical Foundations, Reasoning and Inference

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics;

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Statistical Paradigms

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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