Results 21 to 30 of about 1,402,559 (308)
Double asymptotics for the chi-square statistic [PDF]
Statistics & Probability Letters, 2016 We consider distributional limit of the Pearson chi-square statistic when the number of classes m increases with the sample size n in such way that $n/\sqrt{m} \to $. Under mild moment conditions, the limit is Gaussian for $ = \infty$, Poisson for finite $ > 0$, and degenerate for $ = 0$.
Grzegorz A. Rempała, Jacek Wesołowski
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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square
Contemporary Mathematics and Applications (ConMathA), 2022 The study discusses problems related to the formation of a decision tree based on a collection of evaluation data records obtained from a number of car buyers. This secondary data was obtained from the UCL machine learning website.
Retno Maharesi
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Mining statistically significant substrings using the chi-square statistic [PDF]
Proceedings of the VLDB Endowment, 2012 The problem of identification of statistically significant patterns in a sequence of data has been applied to many domains such as intrusion detection systems, financial models, web-click records, automated monitoring systems, computational biology, cryptology, and text analysis.
Sachan, Mayank, Bhattacharya, Arnab
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Making sense of statistics for family practitioner The "Chi-square test" - getting it right
South African Family Practice, 2002 No abstract available.
Gboyego A. Ogunbanjo, David N. Durrheim
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Maximally selected chi-square statistics and umbrella orderings [PDF]
, 2006 Binary outcomes that depend on an ordinal predictor in a non-monotonic way are common in medical data analysis. Such patterns can be addressed in terms of cutpoints: for example, one looks for two cutpoints that define an interval in the range of the ...
Boulesteix, Anne-Laure, Strobl, Carolin
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Text Sentiment Analysis Based on Hybrid Chi-square Statistic and Logistic Regression [PDF]
Jisuanji gongcheng, 2017 In text sentiment analysis,feature extraction method based on Chi-square statistic (CHI) is easy to ignore single text word frequency which leads to text feature accuary is low,a feature extraction method based on hybrid chi-square statistics is proposed.
LI Ping,DAI Yueming,WANG Yan
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Maximally selected chi-square statistics and binary splits of nominal variables [PDF]
, 2005 We address the problem of maximally selected chi-square statistics in the case of a binary Y variable and a nominal X variable with several categories. The distribution of the maximally selected chi-square statistic has already been derived when the best
Boulesteix, Anne-Laure
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Recent developments in superstatistics [PDF]
, 2009 We provide an overview on superstatistical techniques applied to complex systems with time scale separation. Three examples of recent applications are dealt with in somewhat more detail: the statistics of small-scale velocity differences in Lagrangian ...
Beck, Christian
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Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]
, 2005 The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
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Chi-square and F Ratio: Which should be used when?
Journal of Methods and Measurement in the Social Sciences, 2018 Approximations for Chi-square and F distributions can both be computed to provide a p-value, or probability of Type I error, to evaluate statistical significance.
Richard L. Gorsuch, Curtis Lehmann
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