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Subjects / keywords: Matemáticas; General

Subjects / keywords: TSICHRITZIS, DIONYSIOS C; AMERICAN PRESS; 004.015 1 T82o

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis prov...

Papers from the 2006 flagship meeting on neural computation, with contributions from physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing Systems (...

Since its publication in 1949, D.O. Hebb's, The Organization of Behavior has been one of the most influential books in the fields of psychology and neuroscience. However, the original edition has been unavailable since 1...

Uncertainties in measurements probability distributions error analysis estimates of means and errors Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-squares fit to an ar...

A classic work that situates linguistic theory in the broader cognitive sciences, formulating and developing the minimalist program. In his foundational book, The Minimalist Program, published in 1995, Noam Chomsky offer...

"An IEEE reprinting of this classic 1968 edition, FIELD COMPUTATION BY MOMENT METHODS is the first book to explore the computation of electromagnetic fields by the most popular method for the numerical solution to electr...

1. Introduction 2. Basic concepts 3. Devising the items 4. Scaling responses 5. Selecting the items 6. Biases in responding 7. From items to scales 8. Reliability 9. Generalizability theory 10. Validity 11. Measuring cha...

1. The general discrete inverse problem 2. Monte Carol methods 3. The least-squares criterion 4. Least-absolute values criterion and minimax criterion 5. Functional inverse problems 6. Appendices 7. Problems References I...

Subjects / keywords: Mathematics; Inequality; Matrix (chemical analysis); Algebra over a field; Pure mathematics; Calculus (dental); Mathematical economics; Applied mathematics; Computer science; Mathematical analysis; Materials science; Den...

Preface 1. Introduction. Problems to be considered Characteristics of 'real-world' problems Finite-precision arithmetic and measurement of error Exercises 2. Nonlinear Problems in One Variable. What is not possible Newto...

1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

Subjects / keywords: Mathematics; Selection (genetic algorithm); Differential equation; Volume (thermodynamics); Applied mathematics; Differential (mechanical device); Mathematical analysis; Calculus (dental); Computer science; Physics; Orth...

Abstract Jeffreys' Theory of Probability, first published in 1939, was the first attempt to develop a fundamental theory of scientific inference based on Bayesian statistics. His ideas were well ahead of their time and i...

Building on the foundations of its predecessor volume, Matrix Analysis, this book treats in detail several topics in matrix theory not included in the previous volume, but with important applications and of special mathe...

Abstract Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, and the elderly become frail and forgetful. Beyond these natural processes and...

This best-selling text focuses on the analysis and design of complicated dynamics systems. CHOICE called it ""a high-level, concise book that could well be used as a reference by engineers, applied mathematicians, and un...

"This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but...

Subjects / keywords: Computer science

Subjects / keywords: Computer science; Statistical analysis; Computational statistics; Statistical graphics; Statistics; Data science; Data mining; Mathematics; Machine learning; Computer graphics (images); Graphics

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of mode...

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit p...