Statistical Analysis and Modelling 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistical Analysis and Modelling

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Illian 作者
John Wiley & Sons
譯者
2008-2-14 出版日期
560 頁數
GBP 101.00 價格
Hardcover
叢書系列
9780470014912 圖書編碼

Statistical Analysis and Modelling 在線電子書 圖書標籤: 學習   


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發表於2024-11-11

Statistical Analysis and Modelling 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Analysis and Modelling 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Analysis and Modelling 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Statistical Analysis and Modelling 在線電子書 用戶評價

評分

"Aim of point process statistics is to analyse the geometrical structure of patterns formed by objects that are distributed randomly in 1,2,3-D spaces. Point processes are stochastic models of irregular point patterns. A point pattern is a collection of points in some area or set and is typically interpreted as a sample from (or realisation of) .."

評分

"Aim of point process statistics is to analyse the geometrical structure of patterns formed by objects that are distributed randomly in 1,2,3-D spaces. Point processes are stochastic models of irregular point patterns. A point pattern is a collection of points in some area or set and is typically interpreted as a sample from (or realisation of) .."

評分

"Aim of point process statistics is to analyse the geometrical structure of patterns formed by objects that are distributed randomly in 1,2,3-D spaces. Point processes are stochastic models of irregular point patterns. A point pattern is a collection of points in some area or set and is typically interpreted as a sample from (or realisation of) .."

評分

"Aim of point process statistics is to analyse the geometrical structure of patterns formed by objects that are distributed randomly in 1,2,3-D spaces. Point processes are stochastic models of irregular point patterns. A point pattern is a collection of points in some area or set and is typically interpreted as a sample from (or realisation of) .."

評分

"Aim of point process statistics is to analyse the geometrical structure of patterns formed by objects that are distributed randomly in 1,2,3-D spaces. Point processes are stochastic models of irregular point patterns. A point pattern is a collection of points in some area or set and is typically interpreted as a sample from (or realisation of) .."

Statistical Analysis and Modelling 在線電子書 著者簡介


Statistical Analysis and Modelling 在線電子書 著者簡介


Statistical Analysis and Modelling 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Analysis and Modelling 在線電子書 圖書描述

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material. Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience. The book: Provides an introduction to spatial point patterns for researchers across numerous areas of application Adopts an extremely accessible style, allowing the non-statistician complete understanding Describes the process of extracting knowledge from the data, emphasising the marked point process Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science Features a supplementary website containing example datasets. Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.

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