Results 1 to 10 of about 6,994,987 (257)
The International Journal of Biostatistics, 2017 AbstractMultiple comparisons and small sample size, common characteristics of many types of “Big Data” including those that are produced by genomic studies, present specific challenges that affect reliability of inference. Use of multiple testing procedures necessitates calculation of very small tail probabilities of a test statistic distribution ...
Inna, Gerlovina +2 more
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“Student” and Small-Sample Theory [PDF]
Statistical Science, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Tail-Index Estimates in Small Samples [PDF]
Journal of Business & Economic Statistics, 2001 Financial returns are known to be nonnormal and tend to have fat-tailed distributions. This article presents a simple methodology that accurately estimates the degree of tail fatness, characterized by the tail index, in small samples. Our method is a weighted average of Hill estimators for different threshold values that corrects for the small-sample ...
Kool, C.J.M. +3 more
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The Annals of Mathematical Statistics, 1947 This paper discusses some of the concepts underlying small sample estimation and reexamines, in particular, the current notions on "unbiased" estimation. Alternatives to the usual unbiased property are examined with respect to invariance under simultaneous one-to-one transformation of parameter and estimate; one of these alternatives, closely related ...
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International Journal of Basic & Clinical Pharmacology, 2012 Though small size samples can be planned and justified based on scarcity of time, money and manpower, there are situations making more accuracy a must and needing larger samples sizes. That’s why rare adverse drug reactions are identified only after a drug comes into the market and a large population is exposed to it.
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Line Transect Sampling in Small Regions
Biometrics, 2001 This article develops an approach to estimating population abundance from line transect surveys that uses a calibration survey to estimate the detection function, which is then employed as a weight function in constructing the abundance estimate. Nonparametric methods of estimating the detection function via local regression and via a kernel density ...
Melville, G, Welsh, Alan
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Robust oblique Target-rotation for small samples. [PDF]
Front Psychol, 2023 Beauducel A, Hilger N.
europepmc +1 more source
Cotton Fusarium wilt diagnosis based on generative adversarial networks in small samples. [PDF]
Front Plant Sci, 2023 Zhang Z +6 more
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The Dangers of Small Samples and Insufficient Methodological Detail. [PDF]
Schizophr Bull, 2023 Barch DM.
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Remote Sensing Image Scene Classification in Hybrid Classical-Quantum Transferring CNN with Small Samples. [PDF]
Sensors (Basel), 2023 Zhang Z +8 more
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