Return to home page
Searching: Muskingum library catalog
In response to the COVID-19 outbreak, statewide lending via OhioLINK and SearchOhio has been suspended. OPAL member libraries have closed or are operating at reduced service levels. Please contact your library with specific lending requests or if you need assistance.

LEADER 00000cam  2200781Ki 4500 
001    809852943 
003    OCoLC 
005    20181130031901.5 
006    m     o  d         
007    cr cnu---unuuu 
008    120913s2012    nyu     ob    001 0 eng d 
019    809479045|a811044637|a985059908|a988802371|a990731311
       |a1005812973|a1058100469|a1066436110 
020    9781461444756|q(electronic bk.) 
020    1461444756|q(electronic bk.) 
020    |z1461444748 
020    |z9781461444749 
024 7  10.1007/978-1-4614-4475-6|2doi 
035    (OCoLC)809852943|z(OCoLC)809479045|z(OCoLC)811044637
       |z(OCoLC)985059908|z(OCoLC)988802371|z(OCoLC)990731311
       |z(OCoLC)1005812973|z(OCoLC)1058100469|z(OCoLC)1066436110 
040    GW5XE|beng|epn|erda|cGW5XE|dUV0|dYDXCP|dZMC|dCOO|dE7B|dCDX
       |dOCLCQ|dDEBSZ|dTPH|dOCLCQ|dOCLCO|dOCLCQ|dVT2|dZ5A|dLIP
       |dOCLCO|dESU|dOCLCQ|dIOG|dOCLCO|dOCLCA|dN$T|dOCLCA|dOCLCQ
       |dOCLCO|dOCLCF|dCEF|dU3W|dOCLCO|dAU@|dOCLCO|dWYU|dOCLCQ
       |dOCLCA 
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 
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online

If you experience difficulty accessing or navigating this content, please contact the OPAL Support Team