Journal ArticleDOI
Statistical methods and scientific inference (3rd edition), by R. A. Fisher. Pp viii, 182. £4·95. 1973. SBN 0 02 844740 9 (Collier-Macmillan)
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This article is published in The Mathematical Gazette.The article was published on 1974-12-01. It has received 38 citations till now.read more
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Experimental practices in economics: A methodological challenge for psychologists?-Open Peer Commentary-Different perspective of human behavior entail different experimental practices
TL;DR: In this paper, the authors consider four features of experimentation in economics, namely, script enactment, repeated trials, performance-based monetary payments, and the proscription against deception, and compare them to experimental practices in psychology, primarily in the area of behavioral decision making.
Dissertation
A critical analysis of the role of statistical significance testing in education research, with special attention to mathematics education
TL;DR: In this paper, the role of statistical significance testing (SST) in education has been discussed and a thorough discussion of common misconceptions associated with SST and the major arguments for and against SST is presented.
DissertationDOI
Supplier integration for new product developments: antecedents for supplier integration in modular product designs
TL;DR: In this paper, a qualitative analysis detects supplier characteristics for module developments by looking at three cases from different four wheel vehicle industries, and the identified supplier characteristics are tested empirically in regards to joint developments between buyers-suppliers (grey-box) and self-conducted supplier developments (black-box).
Reply to comments on « The modern hypothesis testing hybrid : R.A. Fisher's fading influence »
TL;DR: In this article, the authors discuss the nature du "test de signification d'une hypothese nulle" (NHST) presente peu de ressemblance avec le modele propose par Fisher il y a quelque quatre-vingts years.
References
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Journal ArticleDOI
Severe Testing as a Basic Concept in a Neyman-Pearson Philosophy of Induction
Deborah G. Mayo,Aris Spanos +1 more
TL;DR: In this article, the relevance of error probabilities is to ensure that only statistical hypotheses that have passed severe or probative tests are inferred from the data, which is a meta-statistical principle for evaluating proposed statistical inferences.
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The Geometry of Asymptotic Inference
TL;DR: In this paper, the role of differential geometry in generalizing results is indicated, further applications are mentioned, and geometrical methods in nonlinear regression are related to those developed for general parametric families.
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Sustainability criteria for bioenergy systems: results from an expert survey
TL;DR: In this article, the authors analyzed how key experts perceive the 35 sustainability criteria for bioenergy found in emerging sustainability assessment frameworks and to identify levels of agreement and uncertainty among the experts surveyed.
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Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
TL;DR: In this article, the authors review several reasons why the p value is an unobjective and inadequate measure of evidence when statistically testing hypotheses, and a common theme throughout many of these reasons is that p values exaggerate the evidence against H0.
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Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind:
TL;DR: This paper proposed a customer-centric approach to reporting significant research results that involves a sequence of three interdependent steps: the first step involves setting an alpha level (i.e., a priori Type I error rate) that considers the relative seriousness of falsely rejecting a null hypothesis of no effect or relationship relative to not detecting an existing effect and relationship.