Keywords
MathematicsContingency tableStatisticStatisticsPermutation (music)SkewnessChi-square testAsymptotic distributionResamplingDelta methodPearson's chi-squared testAsymptotic analysisApplied mathematicsSquare (algebra)Test statisticStatistical hypothesis testingEstimator
Affiliated Institutions
Related Publications
Goodness-of-Fit Testing for Latent Class Models
Latent class models with sparse contingency tables can present problems for model comparison and selection, because under these conditions the distributions of goodness-of-fit i...
Testing for a Finite Mixture Model with Two Components
Summary We consider a finite mixture model with k components and a kernel distribution from a general one-parameter family. The problem of testing the hypothesis k=2 versuskā©¾3 i...
On the Multivariate Asymptotic Distribution of Sequential Chi-Square Statistics
The multivariate asymptotic distribution of sequential Chi-square test statistics is investigated. It is shown that: (a) when sequential Chi-square statistics are calculated for...
On Bootstrapping the Likelihood Ratio Test Stastistic for the Number of Components in a Normal Mixture
An important but difficult problem in practice is assessing the number of components g in a mixture. An obvious way of proceeding is to use the likelihood ratio test statistic Ī»...
Multiple Correspondence Analysis
This chapter examines biplots for more than two categorical variables. One way of generalizing correspondence analysis (CA) is to treat the categorical data matrix G as if it we...
Publication Info
- Year
- 1985
- Type
- article
- Volume
- 12
- Pages
- 41-45
- Citations
- 21
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
21
OpenAlex
Cite This
Paul W. Mielke,
Kenneth J. Berry
(1985).
Non-asymptotic inferences based on the chi-square statistic for r by c contingency tables.
Journal of Statistical Planning and Inference
, 12
, 41-45.
https://doi.org/10.1016/0378-3758(85)90051-5
Identifiers
- DOI
- 10.1016/0378-3758(85)90051-5