Results 11 to 20 of about 10,248,752 (301)
Circulation, 2006 The process of drawing conclusions about an entire population on the basis of the information contained in a random sample drawn from that population is known as statistical inference. Methods of statistical inference fall into 2 general categories: estimation and hypothesis testing.
Roger B, Davis, Kenneth J, Mukamal
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, 2023 This is a sample submission generated by Vireo to test the repository deposit ...
Submitter, Test
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matthewwolak/QG-test-AP-hypothesis
, 2023 <p>Data and R code supporting the paper "How do trade-offs emerge? A test of the antagonistic pleiotropy hypothesis using a replicated artificial selection experiment" by Wilson, Wolak, Hiramatsu, Garland, & Careau.</p ...
Wolak, Matthew E. +2 more
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Error-Correction Code Proof-of-Work on Ethereum
IEEE Access, 2021 The error-correction code proof-of-work (ECCPoW) algorithm is based on a low-density parity-check (LDPC) code. ECCPoW can impede the advent of mining application-specific integrated circuits (ASICs) with its time-varying puzzle generation capability ...
Hyoungsung Kim +3 more
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Hypothesis Testing in Econometrics [PDF]
Annual Review of Economics, 2009 This paper reviews important concepts and methods that are useful for hypothesis testing. First, we discuss the Neyman-Pearson framework. Various approaches to optimality are presented, including finite-sample and large-sample optimality. Then, some of the most important methods are summarized, as well as resampling methodology which is useful to set ...
Romano, Joseph P +2 more
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The lack of reproducibility in research: How statistics can endorse results
Mètode Science Studies Journal: Annual Review, 2015 Scientific research is validated by reproduction of the results, but efforts to reproduce spurious claims drain resources. We focus on one cause of such failure: false positive statistical test results caused by random variability.
Scott Goddard, Valen Johnson
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Portfolio Optimization Efficiency Test Considering Data Snooping Bias
Business Systems Research, 2020 Background: In the portfolio optimization area, most of the research is focused on insample portfolio optimization. One may ask a rational question of what the efficiency of the portfolio optimization strategy is and how to measure it.
Kresta Aleš, Wang Anlan
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Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan–Meier curves using empirical process modelling [PDF]
Royal Society Open Science, 2018 The Kaplan–Meier product-limit estimator is a simple and powerful tool in time to event analysis. An extension exists for populations stratified into cohorts where a population survival curve is generated by weighted averaging of cohort-level survival ...
Aaron Heuser +2 more
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Testing the projectivity hypothesis [PDF]
Proceedings of the 11th coference on Computational linguistics -, 1986 The empirical validity of the projectivity hypothesis for Bulgarian is tested. It is shown that the justification of the hypothesis presented for other languages suffers serious methodological deficiencies. Our automated testing, designed to evade such deficiencies, yielded results falsifying the hypothesis for Bulgarian: the non-projective ...
Vladimir Pericliev, Ilarion Ilarionov
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