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Phylogenetic Inference, Selection Theory, and History of Science

in which they emerged. This book is a resource both for anyone interested in the history and philosophy of genetics, statistics, and science, and;

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Reconstructing the Past

of hypothesis testing and theory evaluation that run head on into long standing issues concerning simplicity/parsimony in the philosophy of science;

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Understanding Phylogenetics

Phylogenetics is a field of biology that studies the evolutionary history and relationship among individuals or groups of organisms;

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Testing Character Evolution Models in Phylogenetic Paleobiology

supported in places, this Element shows how models of character change and diversification contribute to understanding patterns of phylogenetic;

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Rationality in an Uncertain World: Essays in the Cognitive Science of Human Understanding

, and of cognitive science more generally. The papers demonstrate that the thesis that logic provides the basis of human inference is central to;

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Rationality in an Uncertain World

, and of cognitive science more generally. The papers demonstrate that the thesis that logic provides the basis of human inference is central to;

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Basic Phylogenetic Combinatorics

Phylogenetic combinatorics is a branch of discrete applied mathematics concerned with the combinatorial description and analysis;

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Phylogenetic Handbook

The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second;

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Statistical Modeling and Inference for Social Science

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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Statistical Modeling & Inference for Soc

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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A Framework for Post-Phylogenetic Systematics

The Framework for Post-Phylogenetic Systematics reframes biological systematics to reconcile classical and cladistic schools. It combines;

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Inference, Asymptotics, and Applications

This book showcases the innovative research of Professor Skovgaard, by providing in one place a selection of his most important and;

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it;

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Government by Natural Selection

Darwinian theory of natural selection. The book examines the history of government and its formation, right up until the early 20th century, when;

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Government by Natural Selection

Darwinian theory of natural selection. The book examines the history of government and its formation, right up until the early 20th century, when;

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Linear Statistical Inference And Its Applications

. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: The algebra of vectors and;

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Biological and Cultural Bases of Human Inference

theory and the central assumptions of cognitive science. The overall approach of the text is based on three complementary levels: adult;

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Designing Social Inquiry

theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. The book only uses;

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Designing Social Inquiry

theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. The book only uses;

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Species Concepts and Phylogenetic Theory

in phylogenetic theory have called into question traditional views of species and spawned many concepts that are currently competing for general;

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Species Concepts and Phylogenetic Theory

in phylogenetic theory have called into question traditional views of species and spawned many concepts that are currently competing for general;

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Computer Age Statistical Inference

jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly;

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Computer Age Statistical Inference, Student Edition

bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern;

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Statistical Inference for Engineers and Data Scientists

reference for researchers and professionals. With a wealth of illustrations and examples to explain the key features of the theory and to connect;

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Principles and Methods for Data Science

, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods;

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Algebraic Statistics

, identifiability of hidden variable models, phylogenetic models, and model selection. With numerous examples, references, and over 150 exercises, this book;

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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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