Constrained Inference When the Sampled and Target Populations Differ
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target populations are not identical and prior information translates to the presence of general linear inequality restrictions. Under these situations, we present new models of estimating cell probabilities r...
Main Authors: | Huijun Yi, Bhaskar Bhattacharya |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/18/3/97 |
Similar Items
-
mipfp: An R Package for Multidimensional Array Fitting and Simulating Multivariate Bernoulli Distributions
by: Johan Barthélemy, et al.
Published: (2018-09-01) -
Analisis Pengaruh Variabel-Variabel Makroekonomi terhadap Tingkat Pengembalian di Pasar Modal Periode 2000 -2011 dengan Membandingkan Hasil Estimasi OLS, GLS dan MLE
by: Sari Minjari Damayanti
Published: (2014-05-01) -
Inference in Multiple Linear Regression Model with Generalized Secant Hyperbolic Distribution Errors
by: Álvaro Alexander Burbano Moreno, et al.
Published: (2021-05-01) -
Constrained least squares [mikrofis]
by: 175388 Mohd. Ruddin Abdul Ghani
Published: (1978) -
Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE
by: Luis Ariosto Serna Cardona, et al.
Published: (2020-12-01)