Найти книгу: "Robust Methods in Biostatistics"

Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.

Content

Introduction

Upholstery tools and materials

Manual dismantling of interior parts

Mastering the art of sewing

Making upholstery pattern

Examples of ready patterns

Covers

Installation instructions autocovers

Leather interior with their own hands

Padding of the saloon ceiling

We produce door skin

Padding vinyl interior

Padding upholstery motorcycle seats

Renovation of the old sagging armchair

Eliminating failures heated seat

Nano Textile upholstery

Technology smart car flocking

The interiors of the converted cars

В книге описаны пакеты расширения Control System Toolbox и Robust Control Toolbox системы MATLAB 7, предназначенные для анализа и синтеза систем управления. Коротко изложены основные теоретические положения, принятые при разработке указанных пакетов расширения. Приведены многочисленные примеры использования этих пакетов расширения для решения конкретных задач с подробным пояснением выполняемых операций. Показаны возможности совместного использования пакетов Control System Toolbox и Robust Control Toolbox с пакетом Simulink, что увеличивает возможности всех трех указанных пакетов расширения. Книга может быть использована студентами вузов соответствующих специальностей при курсовом и дипломном проектировании, инженерами и научными работниками при создании новых и исследованиях уже разработанных систем автоматического управления. Книга рассчитана как на начинающих, так и на достаточно опытных пользователей.

Based on a set of four research parameters, this book discusses the development of research questions and hypotheses, naturalistic and experimental research, data collection, and validation of research instruments. Each chapter includes examples and activities.