GLIM and normalising constant models in spatial and directional data analysis
type: Item
instance of: scholarly article
title: GLIM and normalising constant models in spatial and directional data analysis
zbMATH Open document ID: 0800.62008
DOI: 10.1016/0167-9473(92)90140-B
author: Andrew B. Lawson
published in: Computational Statistics and Data Analysis
publication date: 1994-07-21T00:00:00Z
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 609639
zbMATH Keywords: GLIM
zbMATH Keywords: normalising constants
zbMATH Keywords: spatial
zbMATH Keywords: directional
zbMATH Keywords: von Mises
zbMATH Keywords: Fisher
zbMATH Keywords: numerical
zbMATH Keywords: integration
zbMATH Keywords: Poisson model
MaRDI profile type: Publication
cites work: Approximating Point Process Likelihoods with GLIM
cites work: Efficient Simulation of the von Mises Distribution
cites work: Statistical Analysis of Spherical Data
cites work: Q3332090
cites work: On the homogeneous planar Poisson point process
cites work: Q3956257
cites work: Smoothing counting process intensities by means of kernel functions
full work available at URL: 0167-9473(92)90140-b
OpenAlex ID: W2036170654
description: scientific article; zbMATH DE number 609639