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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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Computer Age Statistical Inference, Student Edition

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and;

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Statistical Inference for Engineers and Data Scientists

in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable;

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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 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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Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data;

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Linear Statistical Inference And Its Applications

book represents a comprehensive account of the main body of results that comprise modern statistical theory. -W. G. Cochran [C. R. Rao;

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Statistical Inference in Science

. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the;

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Statistical Inference in Science

. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the;

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From Finite Sample To Asymptotic Methods In Statistics

Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes;

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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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BI Statistical Methods: Volume I

In this ground-breaking work, Peter Walley constructs and justifies a radically rational theory of statistical inference. He derives;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Modes Of Parametric Statistical Inference

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations;

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Asymptotic Theory Of Quantum Statistical Inference

Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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Phylogenetic Inference, Selection Theory, and History of Science

. Fisher, Edwards pioneered the statistical analysis of phylogeny in collaboration with L. L. Cavalli-Sforza, and helped establish Fisher's concept;

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Constrained Statistical Inference

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from;

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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Likelihood

theory of statistical inference in science. Using the likelihood approach, he explores estimation, tests of significance, randomization;

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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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