Cover Image

QR Code

Random patterns and structures in spatial data

Main Author:	Stoica, Radu S
Subjects:	Gibbs point processes Pattern perception -- > Mathematical models Spatial analysis (Statistics) Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Spatial analysis using big data : methods and urban applications

Structural equation modeling : applications using Mplus
by: Wang, Jichuan

Data mining for co-location patterns : principles and applications
by: Zhou, Guoqing

Spatial data science : with applications in R
by: Pebesma, Edzer J

Introduction to structural equation modelling using SPSS and AMOS
by: Blunch, Niels J

Applied structural equation modeling using AMOS : basic to advanced techniques
by: Collier, Joel E.

Spatial analysis
by: Kent, J. T.

Spatial regression analysis using Eigenvector spatial filtering
by: Griffith, Daniel A

Applied spatial statistics and econometrics : data analysis in R
by: Kopczewska, Katarzyna

Practical multivariate analysis

Computer-aided multivariate analysis
by: Afifi, A. A
Published: (1984)

Model-based clustering, classification, and density estimation using mclust in R
by: Scrucca, Luca

Applied linear statistical models
Published: (2005)

A beginner's guide to structural equation modeling
by: Whittaker, Tiffany A

Handbook of regression modeling in people analytics : with examples in R and Python
by: McNulty, Keith

Applied linear statistical models : regression, analysis of variance, and experimental designs
by: Neter, John
Published: (1990)

Introduction to statistical mediation analysis
by: MacKinnon, David Peter
Published: (2008)

Applied regression modeling
by: Pardoe, Iain

Bayesian and frequentist regression methods
by: Wakefield, Jon

Applied categorical and count data analysis
by: Tang, Wan

Handbook of structural equation modeling

Regression and time series model selection
by: McQuarrie, Allan D R
Published: (1998)

Modern applied regressions : Bayesian and frequentist analysis of categorical and limited response variables with R and Stan
by: Xu, Jun

Gaussian process regression analysis for functional data
by: Jian, Qing Shi
Published: (2011)

Composite-based structural equation modeling : analyzing latent and emergent variables
by: Henseler, Jorg

Latent variable models and factor analysis : a unified approach
by: Bartholomew, David J
Published: (2011)

Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
by: Harrell, Frank E

Advantages and pitfalls of pattern recognition : selected cases in geophysics
by: Langer, Horst

Correlation and dependence
by: Mari, Dominique Drouet
Published: (2001)

Random process analysis with R
by: Bittelli, Marco

Introductory nonparametrics
by: Rayner, J. C. W
Published: (2018)

Nonparametric statistics : a step-by-step approach
by: Corder, Gregory W.

Applied nonparametric statistics
by: Daniel, Wayne W
Published: (1990)

An introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA
by: Rayner, John C. W

Modul pengenalan kepada kaedah statistik tak berparameter
by: Wan Muhamad Amir Wan Ahmad
Published: (2009)

Statistical learning from a regression perspective
by: Berk, Richard A

The essence of multivariate thinking : basic themes and methods
by: Harlow, Lisa L

Modelling frequency and count data
by: Lindsey, James K
Published: (1995)

Applied linear regression models
by: Kutner, Michael H
Published: (2004)

Cluster analysis
Published: (2011)