Results 41 to 50 of about 1,402,559 (308)
Simulating chi-square data through algorithms in the presence of uncertainty
AIMS MathematicsThis paper presents a novel methodology aimed at generating chi-square variates within the framework of neutrosophic statistics. It introduces algorithms designed for the generation of neutrosophic random chi-square variates and illustrates the ...
Muhammad Aslam , Osama H. Arif
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Chi-square test and its application in hypothesis testing
Journal of the Practice of Cardiovascular Sciences, 2015 In medical research, there are studies which often collect data on categorical variables that can be summarized as a series of counts. These counts are commonly arranged in a tabular format known as a contingency table.
Rakesh Rana, Richa Singhal
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Influence Analysis of Robust Wald-type Tests [PDF]
, 2015 We consider a robust version of the classical Wald test statistics for testing simple and composite null hypotheses for general parametric models. These test statistics are based on the minimum density power divergence estimators instead of the maximum ...
Ghosh, Abhik +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Open Mathematics, 2019 In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model.
Xiang Xing, Liu Wanrong
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Chi-square, Student and Fisher-Snedecor Statistical Distributions and Their Application
Статистика України, 2018 The Chi-square distribution is the distribution of the sum of squared standard normal deviates. The degree of freedom of the distribution is equal to the number of standard normal deviates being summed. For the first time this distribution was studied by
F. V. Motsnyi
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The Chi-Square Test of Distance Correlation [PDF]
Journal of Computational And Graphical Statistics, 2019 Distance correlation has gained much recent attention in the data science community: the sample statistic is straightforward to compute and asymptotically equals zero if and only if independence, making it an ideal choice to discover any type of ...
Cencheng Shen, J. Vogelstein
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Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
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Tail Properties of Pearson Statistics Distributions
Austrian Journal of Statistics, 2016 By means of exact computation of Pearson statistics distributions we illustrate some differences between their tails and tails of corresponding chi-square distributions.
Marina V. Filina, Andrew M. Zubkov
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou +10 more
wiley +1 more source