Statistical Methods for Spatial Data Analysis, Schabenberger, Oliver
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 76850.00 T Наличие на складе: Ожидается поступление. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete Название: Handbook of spatial statistics ISBN: 1420072870 ISBN-13(EAN): 9781420072877 Издательство: Taylor&Francis Рейтинг: Цена: 103610.00 T Наличие на складе: Есть Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.
Автор: Lee Название: Statistical Methods for Survival Data Analysis, 4th Edition ISBN: 1118095022 ISBN-13(EAN): 9781118095027 Издательство: Wiley Рейтинг: Цена: 120330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.
Автор: Eric D. Kolaczyk Название: Statistical Analysis of Network Data ISBN: 144192776X ISBN-13(EAN): 9781441927767 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science.
Автор: Brandt Siegmund Название: Data Analysis ISBN: 3319037617 ISBN-13(EAN): 9783319037615 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. It includes example programs and solutions to programming problems written in Java.
Автор: Lewis Название: Complex Survey Data Analysis with SAS ISBN: 1498776779 ISBN-13(EAN): 9781498776776 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.
Автор: Saito Название: Data Analysis of Asymmetric Structures ISBN: 0824753984 ISBN-13(EAN): 9780824753986 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications. This work details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents opportunities and challenges affecting research developments and business applications.
Автор: Wang Название: Analysis of Longitudinal Data by Example ISBN: 1498764606 ISBN-13(EAN): 9781498764605 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. T
Название: Analysis of Distributional Data ISBN: 1498725457 ISBN-13(EAN): 9781498725453 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the era of "Big Data," distributional data is becoming more prevalent. This book presents a synthesis of research in this area over the last twenty years. It has been carefully edited to ensure it is consistent with respect to style, level, notation. Each chapter includes examples to illustrate the topics and software where appropriate.
Автор: Milliken Название: Analysis of Messy Data, Volume III ISBN: 158488083X ISBN-13(EAN): 9781584880837 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. With a balance of theory and examples, this volume provides a guide to this strategy`s techniques, theory, and application.
Автор: Christensen Название: Analysis Of Variance, Design & Regr ISBN: 1498730140 ISBN-13(EAN): 9781498730143 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.
New to the Second Edition
Reorganized to focus on unbalanced data
Reworked balanced analyses using methods for unbalanced data
Introductions to nonparametric and lasso regression
Introductions to general additive and generalized additive models
Examination of homologous factors
Unbalanced split plot analyses
Extensions to generalized linear models
R, Minitab(R), and SAS code on the author's website
The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.
Автор: Le Roux Название: Combinatorial Inference In Geometri ISBN: 1498781616 ISBN-13(EAN): 9781498781619 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.
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