Applied Spatial Data Analysis with R, 3 ed., Bivand Roger S.
Автор: Xiao–Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding Название: Applied Missing Data Analysis in the Health Sciences ISBN: 0470523816 ISBN-13(EAN): 9780470523810 Издательство: Wiley Рейтинг: Цена: 103430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods.
Название: Applied matrix and tensor variate data analysis ISBN: 443155386X ISBN-13(EAN): 9784431553861 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view.
Автор: Giuseppe Arbia Название: Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems ISBN: 9401075786 ISBN-13(EAN): 9789401075787 Издательство: Springer Рейтинг: Цена: 176970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. a shows the first-order neighbours of a reference area, while Figure 1. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours.
Автор: Griffith, Daniel A. Paelinck, Jean H. P. Название: Morphisms for quantitative spatial analysis ISBN: 3319725521 ISBN-13(EAN): 9783319725529 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II).
Автор: Heeringa Название: Applied Survey Data Analysis, Second Edition ISBN: 1498761607 ISBN-13(EAN): 9781498761604 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Нет в наличии. Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.
Автор: T. Agami Reddy Название: Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 1489986367 ISBN-13(EAN): 9781489986368 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focusing on the analysis and modeling of thermal systems in engineering, this volume covers the mathematics, data interpretation and decision analysis required for researchers and engineers to scrutinize their methodologies and arrive at robust conclusions.
Автор: Luc Anselin; Sergio J. Rey Название: Perspectives on Spatial Data Analysis ISBN: 364226218X ISBN-13(EAN): 9783642262180 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book takes both a retrospective and prospective view of the field of spatial analysis. It combines selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field.
Автор: Filzmoser Peter, Hron Karel, Templ Matthias Название: Applied Compositional Data Analysis: With Worked Examples in R ISBN: 3319964208 ISBN-13(EAN): 9783319964201 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression.
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