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005 20181130031901.5
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007 cr cnu---unuuu
008 120913s2012 nyu ob 001 0 eng d
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049 MAIN
050 4 BF237|b.K56 2012
072 7 COM077000|2bisacsh
072 7 PSY|x029000|2bisacsh
072 7 UFM|2bicssc
082 04 150.72/7|223
100 1 Knoblauch, K.|q(Kenneth)|0http://id.loc.gov/authorities/
names/nb2003051891
245 10 Modeling psychophysical data in R /|cKenneth Knoblauch,
Laurence T. Maloney.
264 1 New York, NY :|bSpringer,|c2012.
300 1 online resource.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc|0http://rdaregistry.info/termList/
RDAColourContent/1003
347 text file|2rdaft|0http://rdaregistry.info/termList/
fileType/1002
490 1 Use R!
504 Includes bibliographical references and index.
505 00 |tA First Tour Through R by Example --|tModeling in R --
|tSignal Detection Theory --|tThe Psychometric Function:
Introduction --|tThe Psychometric Function: Continuation -
-|tClassification Images --|tMaximum Likelihood Difference
Scaling --|tMaximum Likelihood Conjoint Measurement --
|tMixed-Effects Models.
520 "Many of the commonly used methods for modeling and
fitting psychophysical data are special cases of
statistical procedures of great power and generality,
notably the Generalized Linear Model (GLM). This book
illustrates how to fit data from a variety of
psychophysical paradigms using modern statistical methods
and the statistical language R. The paradigms include
signal detection theory, psychometric function fitting,
classification images and more. In two chapters, recently
developed methods for scaling appearance, maximum
likelihood difference scaling and maximum likelihood
conjoint measurement are examined. The authors also
consider the application of mixed-effects models to
psychophysical data. R is an open-source programming
language that is widely used by statisticians and is
seeing enormous growth in its application to data in all
fields. It is interactive, containing many powerful
facilities for optimization, model evaluation, model
selection, and graphical display of data. The reader who
fits data in R can readily make use of these methods. The
researcher who uses R to fit and model his data has access
to most recently developed statistical methods. This book
does not assume that the reader is familiar with R, and a
little experience with any programming language is all
that is needed to appreciate this book. There are large
numbers of examples of R in the text and the source code
for all examples is available in an R package MPDiR
available through R. Kenneth Knoblauch is a researcher in
the Department of Integrative Neurosciences in Inserm Unit
846, The Stem Cell and Brain Research Institute and
associated with the University Claude Bernard, Lyon 1, in
France. Laurence T. Maloney is Professor of Psychology and
Neural Science at New York University. His research
focusses on applications of mathematical models to
perception, motor control and decision making"--Back
cover.
650 0 Psychophysics|0http://id.loc.gov/authorities/subjects/
sh85108501|xStatistical methods.|0http://id.loc.gov/
authorities/subjects/sh2001008679
650 0 Psychophysics|0http://id.loc.gov/authorities/subjects/
sh85108501|xComputer simulation.|0http://id.loc.gov/
authorities/subjects/sh99005300
650 0 R (Computer program language)|0http://id.loc.gov/
authorities/subjects/sh2002004407
650 0 Psychometrics|xData processing.|0http://id.loc.gov/
authorities/subjects/sh85108491
650 12 Psychophysics|xmethods.|0https://id.nlm.nih.gov/mesh/
D011601Q000379
650 12 Psychophysics|xstatistics & numerical data.|0https://
id.nlm.nih.gov/mesh/D011601Q000706
650 14 Statistics.
650 22 Computer Simulation.|0https://id.nlm.nih.gov/mesh/D003198
650 22 Models, Statistical.|0https://id.nlm.nih.gov/mesh/D015233
650 24 Statistics and Computing/Statistics Programs.
650 24 Statistical Theory and Methods.
650 24 Statistics, general.
650 24 Statistics for Social Science, Behavorial Science,
Education, Public Policy, and Law.
653 4 Statistics.
653 4 Mathematical statistics.
653 4 Statistics and Computing/Statistics Programs.
653 4 Statistical Theory and Methods.
653 4 Statistics for Social Science, Behavorial Science,
Education, Public Policy, and Law.
655 4 Electronic books.
700 1 Maloney, Laurence T.|0http://id.loc.gov/authorities/names/
n95056098
776 08 |iPrint version:|w(OCoLC)794710040
830 0 Use R!|0http://id.loc.gov/authorities/names/no2006017477
880 |6520-00|aMany of the commonly used methods for modeling
and fitting psychophysical data are special cases of
statistical procedures of great power and generality,
notably the Generalized Linear Model (GLM). This book
illustrates how to fit data from a variety of
psychophysical paradigms using modern statistical methods
and the statistical language R.�The paradigms
include signal detection theory, psychometric function
fitting, classification images and more. In two chapters,
recently developed methods for scaling appearance, maximum
likelihood difference scaling and maximum likelihood
conjoint measurement are examined.�The authors also
consider the application�of mixed-effects models to
psychophysical data. R is an open-source�
programming language that is widely used by statisticians
and is seeing enormous growth in its application to data
in all fields. It is interactive, containing many powerful
facilities for optimization, model evaluation, model
selection, and graphical display of data. The reader who
fits data in R can readily make use of these methods. The
researcher who uses R to fit and model his data has access
to most recently developed statistical methods. This book
does not assume that the reader is familiar with R, and a
little experience with any programming language is all
that is needed to appreciate this book. There are large
numbers of examples of R in the text and the source code
for all examples is available in an R package MPDiR
available through R. Kenneth Knoblauch is a researcher in
the Department of Integrative Neurosciences in Inserm Unit
846, The Stem Cell and Brain Research Institute and
associated with the University Claude Bernard, Lyon 1, in
France.� Laurence T. Maloney is Professor of
Psychology and Neural Science at New York University. His
research focusses on applications of mathematical models
to perception, motor control and decision making.
990 SpringerLink|bSpringer English/International eBooks 2012 -
Full Set|c2018-11-30|yMaster record variable field(s)
change: 650|5OH1
990 SpringerLink|bSpringer English/International eBooks 2012 -
Full Set|c2018-11-23|yMaster record variable field(s)
change: 650|5OH1
990 SpringerLink|bSpringer English/International eBooks 2012 -
Full Set|c2018-10-31|yNew collection
springerlink.ebooks2012|5OH1