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
Citations
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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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Book ChapterDOI
Introduction to Fisher (1922) On the Mathematical Foundations of Theoretical Statistics
TL;DR: Fisher as discussed by the authors made a distinction between parameters, the objects of estimation, and the statistics that one arrives at to estimate the parameters, and pointed out that the neglect of theoretical statistics not only to this failure in distinguishing between parameter and statistic but also to a philosophical reason, namely, that the study of results subject to greater or lesser error implies that the precision of concepts is either impossible or not a practical necessity.
Journal ArticleDOI
The researcher and the consultant: a dialogue on null hypothesis significance testing
TL;DR: Insight is provided into the meaning of several concepts including null and alternative hypothesis, one- and two-sided null hypotheses, statistical models, test statistic, rejection and acceptance regions, type I and II error, p value, and the frequentist’ concept of endless study repetitions.
Journal ArticleDOI
“Repeated sampling from the same population?” A critique of Neyman and Pearson’s responses to Fisher.
TL;DR: In this paper, the authors considered the responses to this criticism provided by Pearson (1947) and Neyman (1977) and concluded that neither Neyman nor Pearson adequately rebutted Fisher's “repeated sampling” criticism.
Posted Content
Optimal inferential models for a Poisson mean
TL;DR: This work constructs optimal, or at least approximately optimal, IMs for two important classes of assertions/hypotheses about the Poisson mean for point assertions, and develops a novel recursive sorting algorithm to construct this optimal IM.
Journal ArticleDOI
A Constructive Data Classification Version of the Particle Swarm Optimization Algorithm
TL;DR: Two new particle swarm algorithms specifically designed to solve classification problems, one of which uses ideas from the immune system to automatically build the swarm and the other is a derivation of a particle swarm clustering algorithm.