“Classical” in terms of general statistical models

2008 ◽  
pp. 438-441 ◽  
Author(s):  
K.- E. Hellwig ◽  
M. Singer
Keyword(s):  
Statistical Models ◽  
General Statistical

Prior Information in Spatial Analysis

1978 ◽  
Vol 10 (1) ◽  
pp. 51-70 ◽  
Author(s):  
J Odland
Keyword(s):  
Spatial Data ◽  
Statistical Models ◽  
Prior Information ◽  
Population Distribution ◽  
Analytical Models ◽  
Distribution Model ◽  
Density Functions ◽  
Growth Processes ◽  
Statistical Procedures ◽  
General Statistical

Formal statistical procedures which incorporate prior, or nonsample, information can be used to enlarge the theoretical and empirical content of analytical models, and can be widely applied to adapt general statistical procedures for special investigative situations which arise in the analysis of spatial data. A class of methods which operate by modifying the parameter space of general statistical models in accordance with prior information is presented in this paper. The prior information can be obtained from theoretical or empirical sources, and the models can be given Bayesian as well as non-Bayesian interpretations. The utility of the methods is demonstrated by applying them to estimate parameters for urban-population-density functions. The resulting estimates incorporate nonsample information on total populations as well as sample information on subarea densities. The logic of the population-distribution model is also extended to take account of possible growth processes by incorporating prior information derived from earlier distributions and by incorporating the characteristics of possible growth processes.

scholarly journals Higher-order asymptotic theory of shrinkage estimation for general statistical models

2018 ◽  
Vol 166 ◽  
pp. 198-211
Author(s):  
Hiroshi Shiraishi ◽  
Masanobu Taniguchi ◽  
Takashi Yamashita
Keyword(s):  
Statistical Models ◽  
Asymptotic Theory ◽  
Higher Order ◽  
Shrinkage Estimation ◽  
General Statistical

Asymptotic Expansions for General Statistical Models.

Economica ◽  
1987 ◽  
Vol 54 (214) ◽  
pp. 268
Author(s):  
P. M. Robinson ◽  
J. Pfanzagl ◽  
W. Wefelmeyer
Keyword(s):  
Asymptotic Expansions ◽  
Statistical Models ◽  
General Statistical

Statistical Models: Theory and Practice

2005 ◽  
Author(s):  
David Freedman
Keyword(s):  
Statistical Models ◽  
Theory And Practice

The Prediction of Adolescents At-Risk for Attempting Suicide Using Tree-Based Statistical Models

2011 ◽  
Author(s):  
Eric E. Pierson ◽  
Holmes W. Finch
Keyword(s):  
At Risk ◽  
Statistical Models

Generation of Reduced Statistical Models for NLP and MINLP Optimization

1997 ◽  
Vol 21 (1-2) ◽  
pp. S505-S510 ◽  
Author(s):  
S Noronha
Keyword(s):  
Statistical Models
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