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Controlled Sampling with Equal Probabilities and without Replacement

International Statistical Review / Revue Internationale de Statistique, 1973
mechanism of stratification, it may still be necessary to further control the selection of the sample within each stratum. The techniques of cluster sampling and subsampling can be used within a stratum to minimize the selection of non-preferred samples. However, they may result in loss of precision of the estimated characteristic under study. Attempts
Avadhani, M. S., Sukhatme, B. V.
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Concentration Inequalities for Samples without Replacement

Theory of Probability & Its Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Large-Deviation Bounds for Sampling without Replacement

The American Mathematical Monthly, 2014
We give a simple argument, based on drawing balls from urns, showing that the ex- ponential bound on the probability of a large deviation for sampling with replacement applies also to sampling without replacement. This result includes as a special case the relationship between the binomial and hypergeometric distributions. 1. INTRODUCTION.
Kyle Luh, Nicholas Pippenger
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On Sampling Without Replacement with Unequal Probabilities of Selection

Biometrika, 1967
A sample of n different units is to be drawn from a population or stratum in such a way that unit i has probability np,, assumed less than 1, of appearing in the sample. A mathematical solution of this problem is given by a formula from which the required probability of selection of any possible sample can be calculated: this formula is an extension of
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Sampling with Unequal Probabilities without Replacement: A Review

International Statistical Review / Revue Internationale de Statistique, 1980
Summary This paper deals with a review of sampling with unequal probabilities without replacement. In Section 2 of this paper, a list of selection Procedures along with their properties (in brief) is given. Section 3 deals with the comparison of the Horvitz-Thompson Estimator and an approximate formula for the estimation of variance which does not ...
Hanif, Muhammad, Brewer, K. R. W.
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CONTROLLED SAMPLING WITH VARYING PROBABILITIES WITH AND WITHOUT REPLACEMENT

Australian Journal of Statistics, 1967
Introduction and SummaryGoodman and Kish (1950) introduced the problem of controlled selection in the sense of decreasing the selection probability of nonpreferred combinations, such as, for example, combinations which present organisational difficulties involving additional cost, etc.
Avadhani, M. S., Sukhatme, B. V.
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A Remark on the Difference between Sampling with and without Replacement

Journal of the American Statistical Association, 1977
(1977). A Remark on the Difference between Sampling with and without Replacement. Journal of the American Statistical Association: Vol. 72, No. 359, pp. 681-681.
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Sequential Sampling of Finite Populations with and without Replacement

SIAM Journal on Applied Mathematics, 1973
Items are drawn sequentially, at random, from a population of n items, either with replacement (WR) or without replacement (WOR) until one of a set of specified configurations is first observed in the sample. We study relations between two distributions of stopping time, namely that under sampling WR and that under sampling WOR.
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Random sampling with fuzzy replacement

Expert Systems With Applications, 2021
Buḡra Kaan Tiryaki   +2 more
exaly  

On the Comparison of Sampling with and without Replacement

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1966
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