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Addressing Onsite Sampling in Recreation Site Choice Models
Addressing Onsite Sampling in Recreation Site Choice Models

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... determining the required sample size to achieve a specified level of power for a given difference between the mean change under the stated H 0 and under the stated H 1 , standard deviation of the change and α-level. By varying these four quantities we can obtain a set of sample size curves that show ...
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... of testing for mean effects, however these tests now are conducted on the 2k within-run summary statistics (in the case of two-level factorial designs), rather than the n individual outcomes within each of the 2k runs, resulting in the loss of 2k(n - 1) degrees of freedom and the need for either at ...
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Journal of Applied Statistics Time truncated acceptance sampling

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Foundations of statistics

Foundations of statistics is the usual name for the epistemological debate in statistics over how one should conduct inductive inference from data. Among the issues considered in statistical inference are the question of Bayesian inference versus frequentist inference, the distinction between Fisher's ""significance testing"" and Neyman-Pearson ""hypothesis testing"", and whether the likelihood principle should be followed. Some of these issues have been debated for up to 200 years without resolution.Bandyopadhyay & Forster describe four statistical paradigms: ""(1) classical statistics or error statistics, (ii) Bayesian statistics, (iii) likelihood-based statistics, and (iv) the Akaikean-Information Criterion-based statistics"".Savage's text Foundations of Statistics has been cited over 10000 times on Google Scholar. It tells the following.It is unanimously agreed that statistics depends somehow on probability. But, as to what probability is and how it is connected with statistics, there has seldom been such complete disagreement and breakdown of communication since the Tower of Babel. Doubtless, much of the disagreement is merely terminological and would disappear under sufficiently sharp analysis.
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