Results 281 to 290 of about 6,999,060 (353)
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The SAGE Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences
, 2015Packed with new definitions, terms, and graphics, this invaluable resource is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms ...
W. Vogt, R. B. Johnson
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A statistics-based performance testing methodology for cloud applications
ESEC/SIGSOFT FSE, 2019The low cost of resource ownership and flexibility have led users to increasingly port their applications to the clouds. To fully realize the cost benefits of cloud services, users usually need to reliably know the execution performance of their ...
Sen He +5 more
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, 1990
A survey of all PhD programs in psychology in the United States and Canada assessed the extent to which advances in statistics, measurement, and method- ology have been incorporated into doctoral training.
L. Aiken +7 more
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A survey of all PhD programs in psychology in the United States and Canada assessed the extent to which advances in statistics, measurement, and method- ology have been incorporated into doctoral training.
L. Aiken +7 more
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Heuristics versus statistics in discriminant validity testing: a comparison of four procedures
Internet Research, 2019Purpose The purpose of this paper is to review and extend recent simulation studies on discriminant validity measures, contrasting the use of cutoff values (i.e. heuristics) with inferential tests.
George R. Franke, M. Sarstedt
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Recent advances in directional statistics
Test (Madrid), 2020Mainstream statistical methodology is generally applicable to data observed in Euclidean space. There are, however, numerous contexts of considerable scientific interest in which the natural supports for the data under consideration are Riemannian ...
A. Pewsey, Eduardo Garc'ia-Portugu'es
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Biometrics, 1977
This paper presents a general statistical methodology for the anialysis of mnultivariate categorical data involving agreement among nmore than two observers.
J. Landis, G. Koch
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This paper presents a general statistical methodology for the anialysis of mnultivariate categorical data involving agreement among nmore than two observers.
J. Landis, G. Koch
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, 2019
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book
M. Wainwright
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Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book
M. Wainwright
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1995
No single method can be applied to all the activities that are of interest to psychologists; for practical and ethical reasons, a variety of methods must be used.
Diana Dwyer, Jane Scampion
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No single method can be applied to all the activities that are of interest to psychologists; for practical and ethical reasons, a variety of methods must be used.
Diana Dwyer, Jane Scampion
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Statistical methodologies in psychopharmacology: a review
Human Psychopharmacology: Clinical and Experimental, 2006AbstractThere has been a greatly increased interest in statistical methods in the psychiatric research and its applications over the past few decades, in parallel with advances in computers and statistical software. This review aims to describe the main topics related to statistical methods in psychopharmacology, namely nature of statistics in medicine,
Jouko Miettunen +5 more
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Statistics in Corpus Linguistics: A Practical Guide
Journal of Quantitative Linguistics, 2019Corpus linguistics is a powerful quantitative methodology, which heavily relies on frequency data and statistical procedures.
Cunxin Han
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