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Subjects / keywords: KEYS, ANCEL; HARVARD UNIVERSITY PRESS; 616.123 K44s

UNLABELLED: The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers. It extends the ade4 package of multivariate methods by implementing formal classes and functions to manipu...

Abstract Hypothesis‐testing methods for multivariate data are needed to make rigorous probability statements about the effects of factors and their interactions in experiments. Analysis of variance is particularly powe...

In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categor...

Background: HNSCC progression to adjacent tissue and nodes may be mediated by altered glycoproteins and glycolipids such as MUC1 mucin. This report constitutes a detailed statistical study about MUC1 expression and anti-...

Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussi...

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliab...

Introduction Assumptions EM and Inference by Data Augmentation Methods for Normal Data More on the Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data Further Topics Appendices References In...

Subjects / keywords: Multivariate statistics; Multivariate analysis; Statistics; Computer science; Mathematics; Econometrics

Subjects / keywords: Multivariate statistics; Multivariate analysis; Statistics; Mathematics

Subjects / keywords: Multivariate statistics; Statistics; Multivariate analysis; Mathematics; Computer science; Econometrics

A new multivariate analysis technique, developed to relate community composition to known variation in the environment, is described.The technique is an extension of correspondence analysis (reciprocal averaging), a popu...

Preface to the Third Edition.Preface to the Second Edition.Preface to the First Edition.1. Introduction.2. The Multivariate Normal Distribution.3. Estimation of the Mean Vector and the Covariance Matrix.4. The Distributi...

(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...

Subjects / keywords: Autoregressive model; Orthogonalization; Impulse response; Vector autoregression; Multivariate statistics; Econometrics; Mathematics; Impulse (physics); Infinite impulse response; Applied mathematics; Invariant (physics)...

CAPÍTULO 1. INTERVENCIÓN TEMPRANA PARA LA DETECCIÓN PRECOZ EN EL DESARROLLO DE HABILIDADES FUNCIONALES: APLICACIÓN WEB “eEARLYCARE” / MARÍA CONSUELO SAIZ MANZANARES Y GONZALO ANDRÉS LÓPEZCAPÍTULO 2. DESEMPLEA...

This study focuses on the effectiveness of an app-based, monitored intervention using the Liad@s app in a residential youth-care setting. The aim of this intervention is to reduce maladaptive beliefs and attitudes linked...

Objective. To assess risk factors associated with systemiclupus erythematosus (SLE) in the Mexican population. Materialand Methods. A case-control study was conductedon June 1996, at the Reumathology Clinic of Hospital d...

Objective. To determine nutritional risk factors in a populationof patients with pulmonary tuberculosis (PT). Materialand methods. During 1997, one-hundred andeighty-five patients with PT were chosen at random fromtwo he...

This paper investigates the ways in which foreign direct investment (FDI) has really affected economic growth in Mexico. Considering that special efforts have been made to rely on an outward industrialisation strategy, w...

Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extrac...

Trichograptus dilaceratus (Herrmann), Acrograptus gracilis (Törnquist), Expansograptus urbanus (Monsen) and Corymbograptus v-fractus tullbergi (Monsen) are recognized and described in Argentina for the first time, reinf...

Three types of livestock farming systems are identified in Andalusian dehesas using multivariate analysis. One of two conservationist systems, both applying sustainable management criteria, was detected in most of farms:...

1. While teaching statistics to ecologists, the lead authors of this paper have noticed common statistical problems. If a random sample of their work (including scientific papers) produced before doing these courses were...