Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Pearson-type goodness-of-fit tests: The univariate case
Michael G. Akritas
Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
77
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Pearson-type goodness-of-fit tests: The univariate case'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Test Statistic
100%
Goodness-of-fit Test
100%
Random Censoring
100%
Empirical Process
100%
Univariate Case
100%
Extra Degree of Freedom
100%
Simulation Study
50%
One-parameter
50%
Weak Convergence
50%
Empirical Distribution Function
50%
Chi-square Test
50%
Goodness-of-fit
50%
Weibull
50%
Expected Frequency
50%
Chi-square
50%
Negative Exponential
50%
Pareto
50%
Brownian Motion
50%
Maximum Likelihood Estimator
50%
Simple Test
50%
Pearson Statistic
50%
Censoring Distribution
50%
Test Development
50%
Chi-square Statistic
50%
Gamma Family
50%
Test-based
50%
Mathematics
Test Statistic
100%
Goodness of Fit Test
100%
Empirical Process
100%
Univariate Case
100%
Degree of Freedom
100%
Weak Convergence
50%
Simulation Study
50%
Empirical Distribution Function
50%
Simple Null Hypothesis
50%
Real Data
50%
Brownian Motion
50%
Maximum Likelihood Estimator
50%
Simple Form
50%
Minimum Chi
50%
Brownian Motion Process
50%
Negative Exponential
50%
Composite Null Hypothesis
50%
Chi Square Test
50%