Smaller p-Values via Indirect Information
نویسندگان
چکیده
منابع مشابه
Exploring the Information in P-values
A new methodology is proposed for estimating the proportion of true null hypotheses in a large collection of tests. The proportion of true null hypotheses is needed, for example, when controlling the false discovery rate in the analysis of microarray data. We assume that each test concerns a single parameter δ whose value is specified by the null hypothesis. Our methodology combines a parametri...
متن کاملAll Nearest Smaller Values on the Hypercube
Given a sequence of n elements, the All Nearest Smaller Values (ANSV) problem is to nd, for each element in the sequence, the nearest element to the left (right) that is smaller, or to report that no such element exists. Time and work optimal algorithms for this problem are known on all the PRAM models 3], 5], but the running time of the best previous hypercube algorithm 6] is optimal only when...
متن کاملDistributions of p-values smaller than .05 in psychology: what is going on?
Previous studies provided mixed findings on pecularities in p-value distributions in psychology. This paper examined 258,050 test results across 30,710 articles from eight high impact journals to investigate the existence of a peculiar prevalence of p-values just below .05 (i.e., a bump) in the psychological literature, and a potential increase thereof over time. We indeed found evidence for a ...
متن کاملComputing p-values of LiNGAM outputs via Multiscale Bootstrap
Structural equation models and Bayesian networks have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover such causal models and has been extended in various directions. An important problem with LiNGAM is that the results are affected by the random sampling of the data as with any statistical method...
متن کاملInformation Measures via Copula Functions
In applications of differential geometry to problems of parametric inference, the notion of divergence is often used to measure the separation between two parametric densities. Among them, in this paper, we will verify measures such as Kullback-Leibler information, J-divergence, Hellinger distance, -Divergence, … and so on. Properties and results related to distance between probability d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2021
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2020.1844720