Results 251 to 260 of about 1,709,075 (283)
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Salesmen's personality characteristics and sample bias

Journal of the Academy of Marketing Science, 1977
A major issue in marketing concerns potential bias from nonreturns in survey research. This study was designed to examine if their are personality characteristics that differentiate the respondents from nonrespondents in a mailed questionnaire. Five hundred and eight salesmen of a national marketing firm participated in the study.
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Invasive aliens and sampling bias

Ecology Letters, 2003
AbstractTwo hypotheses have been proposed to explain the observation of increased vigour of invasive alien plants in their nonindigenous ranges: phenotypic plasticity, and the post‐invasion evolution of increased competitive ability (EICA). Here I specify how a general pattern of increased vigour may result from sampling bias. Ignoring failed invasions
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THE SAMPLING BIAS OF HECKMAN'S SAMPLE BIAS ESTIMATOR

Recent Advances in Statistical Methods, 2002
PAUL RILSTONE, AMAN ULLAH
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Target‐group backgrounds prove effective at correcting sampling bias in Maxent models

Diversity and Distributions, 2022
Robert Alan Barber, Francis Gilbert
exaly  

Sampling Errors, Bias, and Objectivity

2020
The basis of any good piece of research is making sure you have sampled correctly and avoided bias. In this chapter the need for sampling is considered. The more commonly used methods of obtaining a sample in quantitative research are reviewed. The importance of a sample reflecting the population, and the various forms of bias that might arise because ...
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Ordinary Least Squares Bias and Bias Corrections for iid Samples [PDF]

open access: possible, 2007
The O(n-1) bias and O(n-2) MSE of OLS are derived for iid samples. An approach is suggested for handling nonexistent finite sample moments. Bias corrections based on plug-in, weighting, jackknife and pairs bootstrap methods are equal to Op(n-3/2). Sometimes they are effective at lowering bias and MSE, but not always.
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Is geographic sampling bias representative of environmental space?

Ecological Informatics, 2021
Francesca Cosentino, Luigi Maiorano
exaly  

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