第 1/1 張圖片
圖片庫
第 1/1 張圖片
有類似物品要出售？
Statistical Methods for Spatial Data Analysis: Texts in Statistical Science
The Book Bin
（1726）
US $53.20
大約HK$ 413.92
或講價
狀況：
“A very nice copy. Binding firm, cover shiny/rubbed, interior clean and unmarked. 488 pp. References, ”... 閱讀更多內容關於物品狀況
很好
曾被閱讀過的書籍，但狀況良好。封面不存在明顯損壞，精裝本書籍含書皮。不存在缺頁或內頁受損，無褶皺或破損，同時也沒有對文字標注/標記，或在留白處書寫內容。內封面上標記可能極少。書籍的磨損和破損程度也很低。
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
運送：
免費 USPS Media MailTM.
所在地：Salem, Oregon, 美國
送達日期：
估計於 10月16日 (星期四)至 10月20日 (星期一)之間送達 運送地點 94104
退貨：
30 日退貨. 由買家支付退貨運費，如果你使用 eBay 郵寄標籤，相關費用將從你的退款金額中扣除.
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
物品細節
- 物品狀況
- 很好
- 賣家備註
- ISBN
- 9781584883227
關於產品
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1584883227
ISBN-13
9781584883227
eBay Product ID (ePID)
43546082
Product Key Features
Number of Pages
512 Pages
Language
English
Publication Name
Statistical Methods for Spatial Data Analysis
Subject
Probability & Statistics / General
Publication Year
2004
Type
Textbook
Subject Area
Mathematics
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
36.9 Oz
Item Length
10.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
College Audience
LCCN
2004-043107
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
001.4/22
Table Of Content
INTRODUCTION The Need for Spatial Analysis Types of Spatial Data Autocorrelation-Concept and Elementary Measures Autocorrelation Functions The Effects of Autocorrelation on Statistical Inference Chapter Problems SOME THEORY ON RANDOM FIELDS Stochastic Processes and Samples of Size One Stationarity, Isotropy, and Heterogeneity Spatial Continuity and Differentiability Random Fields in the Spatial Domain Random Fields in the Frequency Domain Chapter Problems MAPPED POINT PATTERNS Random, Aggregated, and Regular Patterns Binomial and Poisson Processes Testing for Complete Spatial Randomness Second-Order Properties of Point Patterns The Inhomogeneous Poisson Process Marked and Multivariate Point Patterns Point Process Models Chapter Problems SEMIVARIOGRAM AND COVARIANCE FUNCTION ANALYSIS AND ESTIMATION Introduction Semivariogram and Covariogram Covariance and Semivariogram Models Estimating the Semivariogram Parametric Modeling Nonparametric Estimation and Modeling Estimation and Inference in the Frequency Domain On the Use of Non-Euclidean Distances in Geostatistics Supplement: Bessel Functions Chapter Problems SPATIAL PREDICTION AND KRIGING Optimal Prediction in Random Fields Linear Prediction-Simple and Ordinary Kriging Linear Prediction with a Spatially Varying Mean Kriging in Practice Estimating Covariance Parameters Nonlinear Prediction Change of Support On the Popularity of the Multivariate Gaussian Distribution Chapter Problems SPATIAL REGRESSION MODELS Linear Models with Uncorrelated Errors Linear Models with Correlated Errors Generalized Linear Models Bayesian Hierarchical Models Chapter Problems SIMULATION OF RANDOM FIELDS Unconditional Simulation of Gaussian Random Fields Conditional Simulation of Gaussian Random Fields Simulated Annealing Simulating from Convolutions Simulating Point Processes Chapter Problems NON-STATIONARY COVARIANCE Types of Non-Stationarity Global Modeling Approaches Local Stationarity SPATIO-TEMPORAL PROCESSES A New Dimension Separable Covariance Functions Non-Separable Covariance Functions The Spatio-Temporal Semivariogram Spatio-Temporal Point Processes
Synopsis
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself., Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The authors deliver an outstanding treatment of semivariogram estimation and modeling, spatial analysis in the spectral domain, and spatial regression, covering linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data and succinctly discussing Bayesian hierarchical models. The book concludes with a review of simulation, non-stationary covariance, and spatio-temporal processes.
LC Classification Number
QA278.2.S32 2004
賣家提供的物品說明
賣家信用評價 （1,177）
- e***i (1482)- 買家留下的信用評價。過去 6 個月購買已獲認證This book was packaged very well for shipping, arrived in great condition with great appearance, and was a item of good value and quality exactly as described on eBay.
- a***i (1126)- 買家留下的信用評價。過去 6 個月購買已獲認證The item was delivered as described very well packed. Thank you so much for protecting this special book thru shipping.
- c***e (23)- 買家留下的信用評價。過去 6 個月購買已獲認證Very satisfied with this purchase. Product as described, well packaged and arrived on due time. I would definitely recommend this seller!House Atreides by Brian Herbert, Kevin J. Anderson - Cassette Tapes（#175823006068）
賣家信用評價 （1,177）
- e***i (1482)- 買家留下的信用評價。過去 6 個月購買已獲認證This book was packaged very well for shipping, arrived in great condition with great appearance, and was a item of good value and quality exactly as described on eBay.
- a***i (1126)- 買家留下的信用評價。過去 6 個月購買已獲認證The item was delivered as described very well packed. Thank you so much for protecting this special book thru shipping.
- c***e (23)- 買家留下的信用評價。過去 6 個月購買已獲認證Very satisfied with this purchase. Product as described, well packaged and arrived on due time. I would definitely recommend this seller!House Atreides by Brian Herbert, Kevin J. Anderson - Cassette Tapes（#175823006068）