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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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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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Semimartingales and their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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Semimartingales and Their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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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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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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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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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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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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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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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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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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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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Statistical Models & Causal Inference

is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This;

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Statistical Models and Causal Inference

is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This;

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Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems;

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Statistical Methods Of Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will;

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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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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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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Statistical Analysis of Network Data with R

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been;

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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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