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ANALYSIS OF SURVIVAL DATA taylor & francis

This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the ben...

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INTRODUCTION TO GENERAL AND GENERALIZED LINEAR MODELS taylor & francis

•Enables a clear comparison between general and generalized linear models •Provides an accessible description of advanced concepts of generalized linear models •Covers Gaussian-based hierarchical mode...

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PRINCIPLES OF APPLIED STATISTICS cambridge usa

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the su...

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FROM FINITE SAMPLE TO ASYMPTOTIC METHODS IN STATISTICS cambridge usa

Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can...

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RANDOM WALKS ON INFINITE GRAPHS AND GROUPS cambridge usa

This eminent work focuses on the interplay between the behavior of random walks and discrete structure theory. Wolfgang Woess considers Markov chains whose state space is equipped with the structure o...

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INTRODUCTION TO PROBABILITY crc press (taylor & francis)

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a ...

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INTRODUCTION TO PROBABILITY WITH R crc press (taylor & francis)

Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive...

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MARKOV CHAIN MONTE CARLO - STOCHASTIC SIMULATION FOR BAYESIAN INFERENCE - 2ND ED crc press (taylor & francis)

While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference proble...

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FIRST COURSE IN LINEAR MODEL THEORY, A taylor & francis

This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate ...

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COMPUTER AGE STATISTICAL INFERENCE cambridge usa

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. ´Big data´, ´data science´, and ´machine learning´ have become familiar terms in ...

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APPLIED CATEGORICAL AND COUNT DATA ANALYSIS crc press (taylor & francis)

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical an...

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ANALYSIS OF CATEGORICAL DATA WITH R crc press (taylor & francis)

Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of m...

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RESPONSE SURFACES - DESIGNS AND ANALYSES - 2ND ED crc press (taylor & francis)

Response Surfaces: Designs and Analyses; Second Edition presents techniques for designing experiments that yield adequate and reliable measurements of one or several responses of interest, fitting and...

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STATISTICAL INFERENCE - AN INTEGRATED APPROACH crc press (taylor & francis)

A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical ...

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GEOSTATISTICS - MODELING SPATIAL UNCERTAINTY john wiley

Praise for the First Edition ". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." —Mathematical Geosciences The state of t...

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INTRODUCTORY BIOSTATISTICS - 2ND ED john wiley

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in r...

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WORKSHOP STATISTICS - DISCOVERY WITH DATA - 4TH ED john wiley

Allan Rossman´s 4th Edition of Workshop Statistics: Discovery with Data is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observation...

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STATISTICAL LEARNING WITH SPARSITY - THE LASSO AND GENERALIZATIONS crc press (taylor & francis)

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret ...

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ITEM RESPONSE THEORY - PARAMETER ESTIMATION TECHNIQUES - 2ND ED crc press (taylor & francis)

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under variou...

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INTRODUCTION TO STOCHASTIC PROCESSES baker & taylor

An excellent introduction for electrical, electronics engineers and computer scientists who would like to have a good, basic understanding of the stochastic processes! This clearly written book respon...

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AN INTRODUCTION TO ANALYSIS OF FINANCIAL DATA WITH R john wiley

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance betwe...

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RESPONSE SURFACE METHODOLOGY - 4TH ED john wiley

Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and...

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FOUNDATIONS OF LINEAR AND GENERALIZED LINEAR MODELS john wiley

Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book pre...

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CATEGORICAL DATA ANALYSIS - 3RD ED john wiley

ALAN AGRESTI is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries. He is the...

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APPLIED LOGISTIC REGRESSION - 3RD ED john wiley

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the...

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STATISTICAL METHODS FOR SURVIVAL DATA ANALYSIS - 4TH ED john wiley

Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expand...

R$ 1.232,80
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SIMULATION AND THE MONTE CARLO METHOD - 3RD ED john wiley

Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and ap...

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INTRODUCTION TO LINEAR REGRESSION ANALYSIS - 5TH ED john wiley

Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors ...

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MATRIX ALGEBRA USEFUL FOR STATISTICS - 2ND ED john wiley

This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a...

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STATISTICAL METHODS FOR THE ANALYSIS OF REPEATED MEASUREMENTS springer

This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a text...

R$ 982,21
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MODEL ASSISTED SURVEY SAMPLING springer

Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of disciplines. A ...

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PRINCIPAL COMPONENT ANALYSIS springer

Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model...

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