1.1 Overview V ARIOWIN 2.2 is a collection of four Windows(TM) programs - Prevar2D, Vari02D with PCF, Model, and Grid Display - that are used for spatial data analysis and variogram modeling of irregularly spaced data in two dimensions. Prevar2D builds a pair comparison file (PCF), that is, a binary file containing pairs of data sorted in terms of increasing distance. Pair comparison files can be built from subsets in order to reduce memory requirements. Vari02D with PCF is used for spatial data analysis of 2D data. It uses an ASCII data file and a binary pair comparison file produced by...
1.1 Overview V ARIOWIN 2.2 is a collection of four Windows(TM) programs - Prevar2D, Vari02D with PCF, Model, and Grid Display - that are used for spat...
This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations that provides highly interactive graphics, as well as a programming environ- ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capa- bilities make it possible to construct student-level front ends...
This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analys...
Mixed-e?ects models provide a ?exibleand powerful toolfor theanalysis of grouped data, which arise in many areas as diverse as agriculture, biology, economics, manufacturing, and geophysics. Examples of grouped data - clude longitudinal data, repeatedmeasures, blocked designs, and multilevel data. The increasing popularity of mixed-e?ects models is explained by the ?exibility they o?er in modeling the within-group correlation often present in grouped data, by the handling of balanced and unbalanced data in a uni?ed framework, and by the availability of reliable and e?cient software for ?tting...
Mixed-e?ects models provide a ?exibleand powerful toolfor theanalysis of grouped data, which arise in many areas as diverse as agriculture, biology, e...
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometr...
In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, but bases these on general principles and provide a clear path between them.
In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, bu...
Lavishly illustrated with both detailed line drawings and clinical photos, this book offers comprehensive coverage of every aspect of the management of intestinal stomas.
Lavishly illustrated with both detailed line drawings and clinical photos, this book offers comprehensive coverage of every aspect of the management o...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance.The last...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a sel...
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify...
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus ...
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics.
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for c...
