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Associative learning and frequency judgements: The PASS model

Peter Sedlmeier

in Etc. Frequency Processing and Cognition

Published in print:
2002
Published Online:
March 2012
ISBN:
9780198508632
eISBN:
9780191687365
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198508632.003.0009
Subject:
Psychology, Cognitive Psychology

This chapter argues that associative learning is the obvious mechanism to simulate judgements of relative frequency. PASS (Probability ASSociator), the specific associationist model proposed, ... More


What If There Is More Than One X?

in Introductory Econometrics: Intuition, Proof, and Practice

Published in print:
2011
Published Online:
June 2013
ISBN:
9780804772624
eISBN:
9780804777209
Item type:
chapter
Publisher:
Stanford University Press
DOI:
10.11126/stanford/9780804772624.003.0011
Subject:
Economics and Finance, Econometrics

This chapter shows that if the population relationship includes two explanatory variables, but the sample regression contains only one, then the estimate of the effect of the included variable is ... More


More Than Two Explanatory Variables

in Introductory Econometrics: Intuition, Proof, and Practice

Published in print:
2011
Published Online:
June 2013
ISBN:
9780804772624
eISBN:
9780804777209
Item type:
chapter
Publisher:
Stanford University Press
DOI:
10.11126/stanford/9780804772624.003.0014
Subject:
Economics and Finance, Econometrics

This chapter shows that the addition of a second explanatory variable in Chapter 11 adds only four new things to what there is to know about regression. First, regression uses only the parts of each ... More


Noise and Error Effects

Robert J Marks II

in Handbook of Fourier Analysis & Its Applications

Published in print:
2009
Published Online:
November 2020
ISBN:
9780195335927
eISBN:
9780197562567
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780195335927.003.0012
Subject:
Computer Science, Mathematical Theory of Computation

Exact interpolation using the cardinal series from unaliased samples assumes that (a) the values of the samples are known exactly, (b) the sample locations are known ... More


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