Testing un-separated hypotheses by estimating a distance
JB Salomond - 2018 - projecteuclid.org
Testing Un-Separated Hypotheses by Estimating a Distance Page 1 Bayesian Analysis (2018)
13, Number 2, pp. 461–484 Testing Un-Separated Hypotheses by Estimating a Distance …
13, Number 2, pp. 461–484 Testing Un-Separated Hypotheses by Estimating a Distance …
Simultaneous testing of grouped hypotheses: Finding needles in multiple haystacks
In large-scale multiple testing problems, data are often collected from heterogeneous
sources and hypotheses form into groups that exhibit different characteristics. Conventional …
sources and hypotheses form into groups that exhibit different characteristics. Conventional …
[引用][C] A multiple divergence criterion for testing between separate hypotheses
KR Sawyer - Statistics & Probability Letters, 1982 - Elsevier
Two families of hypotheses H l and H 2 are separate if an arbitrary simple hypothesis in HI
cannot be obtained as the limit of simple hypotheses in H 2. In discriminating between a set …
cannot be obtained as the limit of simple hypotheses in H 2. In discriminating between a set …
[图书][B] Multiple data splitting for testing
JP Romano, C DiCiccio - 2019 - wayback.stanford.edu
Data splitting is a ubiquitous tool based on the following simple idea. Partition the data into
disjoint “splits” so that one portion of the data can be allocated to simplifying the statistical …
disjoint “splits” so that one portion of the data can be allocated to simplifying the statistical …
[PDF][PDF] Why is selecting the simplest hypothesis (consistent with data) a good idea? A simple explanation
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Assessing the integrity of cross-validation: a case for small sample-based research
N Kim, JK Han - 1997 - repository.ust.hk
In the context of small sample-based research, investigators often encounter feasibility
problem (s) in cross-validation endeavors. The problem (s), in general, can be traced to two …
problem (s) in cross-validation endeavors. The problem (s), in general, can be traced to two …
A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons
DR Bickel - Canadian Journal of Statistics, 2011 - Wiley Online Library
The normalized maximum likelihood (NML) is a recent penalized likelihood that has
properties that justify defining the amount of discrimination information (DI) in the data …
properties that justify defining the amount of discrimination information (DI) in the data …
Revisiting Sackett et al.'s (2022) rationale behind their recommendation against correcting for range restriction in concurrent validation studies.
Abstract Sackett et al.(2022) recommend against correcting for range restriction (RR) in
concurrent validation studies. The main rationale behind their recommendation is that …
concurrent validation studies. The main rationale behind their recommendation is that …
[引用][C] About Hypothesis Testing
J DeVries - 2007 - atrium.lib.uoguelph.ca
In hypothesis testing, researchers use sample data to draw logical conclusions on the
results of a research study and to make inferences on a population of interest. Hypothesis …
results of a research study and to make inferences on a population of interest. Hypothesis …
[Could Fisher, Jeffreys and Neyman Have Agreed on Testing?]: Comment
DG Mayo - Statistical Science, 2003 - JSTOR
[Could Fisher, Jeffreys and Neyman Have Agreed on Testing?]: Comment Page 1 COULD
FISHER, JEFFREYS AND NEYMAN HAVE AGREED? 19 plicitly assuming that one of the …
FISHER, JEFFREYS AND NEYMAN HAVE AGREED? 19 plicitly assuming that one of the …