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Sampling inference, an alternate statistical model

โœ Scribed by Walter W. Zwirner


Publisher
Springer
Year
1991
Tongue
English
Weight
304 KB
Volume
17
Category
Article
ISSN
0167-6369

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โœฆ Synopsis


Sampling inference is proposed as an alternate paradigm. This method is discussed with respect to classical, Bayesian and a proposed probabilistic real world system. A probabilistic real world system is suggested as more valid and useful in practical as well as research situations. Sampling inference applied to a probabilistic model allows for valid inferences for volunteer and representative as well as random samples. A concept of time and distance based samples is introduced.


๐Ÿ“œ SIMILAR VOLUMES


Bayesian inference: an approach to stati
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## Abstract The original Bayes used an analogy involving an invariant prior and a statistical model and argued that the resulting combination of prior with likelihood provided a probability description of an unknown parameter value in an application; the combination in particular contexts with inva