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State-Observation Sampling and the Econometrics of Learning Models
State-Observation Sampling and the Econometrics of Learning Models

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... Note: this is the instrument (device) uncertainty, which is one part of the overall uncertainty for any particular measurement using this device. What else will contribute to the total uncertainty, and how will you calculate the total uncertainty? BJ Furman ...
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... 28. What percentage of those sampled scored between 50 and 74 points? a) 68% b) 95% c) ~ 90% d) ~ 82% 29. What kinds of scores will the top 5% of people achieve? a) 78 or better b) 81.74 or better c) 90.25 or better d) 98 or better 30. Correctly matching 45 of 100 cities to states is considered a po ...
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... That is, the probability that we obtain our first success on the k th trial is the probability of getting k − 1 failures (each with probability 1 − p), and a success on trial k. Suppose we want to model packet loss in a computer network. If the probability of dropping a packet is p and each packet i ...
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... 35. The heights (in inches) of adult males in the United States are believed to be normally distributed with mean µ. The average height of a random sample of 25 American adult males is found to be x = 69.72 inches, and the standard deviation of the 25 heights is found to be s = 4.15 inches. A 90% co ...
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StatAnalysis-PartOne - Columbia University

< 1 ... 72 73 74 75 76 77 78 79 80 ... 269 >

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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