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(NOTE: Each chapter begins with an Introduction, and concludes with Exercises and References.) I. GETTING STARTED. 1. Aspects of Multivariate Analysis. Applications of Multivariate Techniques. The Organization of Data. D...

Materias / palabras clave: Generalized linear mixed model; Inference; Statistical inference; Computer science; Ecology; Evolutionary ecology; Econometrics; Mathematics; Statistics; Machine learning; Artificial intelligence; Biology

Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computat...

With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of spec...

Abstract With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption. Unfortunately, the cause-specific hazard f...

An exactly solvable quantum many-fermion system with an arbitrarily strong two-body interaction is studied and some exact thermodynamic functions (in the thermodynamic limit) are derived within the framework of the stati...

Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of ...

An Introduction to the Bootstrap arms scientists and engineers as well as statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based metho...

"Las medidas provenientes de la Teoría de la Información evaluadas en una distribución de probabilidades adecuada son una herramienta muy potente para caracterizar la complejidad de un sistema dinámico. En particular...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

BACKGROUND: The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, a...

Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesi...

Tables and Figures. Glossary. 1. Introduction. 1.1 Overview. 1.2 Examples of Surveys with Nonresponse. 1.3 Properly Handling Nonresponse. 1.4 Single Imputation. 1.5 Multiple Imputation. 1.6 Numerical Example Using Multip...

Summary In the analysis of data it is often assumed that observations y 1, y 2, …, yn are independently normally distributed with constant variance and with expectations specified by a model linear in a set of paramete...

History Conceptual Foundations Uses and Kinds of Inference The Logic of Content Analysis Designs Unitizing Sampling Recording Data Languages Constructs for Inference Analytical Techniques The Use of Computers Reliability...

The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds of differential expression in a replicat...

Summary The analysis of censored failure times is considered. It is assumed that on each individual are available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to b...

Materias / palabras clave: statistics, probability, statistical inference, stochastic processes, applied statistics, data science; Social Sciences: Statistics; Science: Mathematics: Probabilities. Mathematical statistics

Materias / palabras clave: research design, causal model, target parameter specification, identifiability, statistical estimation, sensitivity analysis; Science: Mathematics: Probabilities. Mathematical statistics

Materias / palabras clave: physical layer techniques, network management, network signal processing, neural networks and machine learning, bayesian networks and statistical inference, tensor networks; Technology: Electrical engineering. Electronic...

Materias / palabras clave: statistical inference, time series, distribution theory, multivariate analysis; Social Sciences: Statistics

Materias / palabras clave: statistics, non-randomized studies, causal inference, statistical methods, study design, study protocols; Social Sciences; Medicine