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HKSYU Library

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    LEADER 02383cam a2200385 i 4500
    001
    991008191569407546
    005
    20260113082634.0
    008
    210522s2021 gw a b 000 0 eng d
    020
     
     
    a| 9783110718164 q| (paperback)
    020
     
     
    z| 9783110718256 q| (electronic book)
    020
     
     
    z| 3110718251 q| (electronic book)
    020
     
     
    z| 9783110718294 q| (EPUB)
    040
     
     
    a| EBLCP b| eng e| rda c| EBLCP d| YDXIT d| OCLCO d| YDX d| N$T d| HKP d| HK-SYU
    050
     
    4
    a| P138.5 b| .G75 2021
    050
     
    4
    a| P138.5 b| .G754 2021 9| wsl
    082
    0
    4
    a| 410.285/5362 2| 23
    082
    0
    4
    a| 401.2/1
    092
    0
     
    a| 410.2855362 b| GRI 2021
    100
    1
     
    a| Gries, Stefan Thomas, d| 1970- e| author
    245
    1
    0
    a| Statistics for linguistics with R : b| a practical introduction / c| by Stefan Th. Gries.
    250
     
     
    a| 3rd revised edition.
    264
     
    1
    a| Berlin ; a| Boston : b| De Gruyter, Inc., c| [2021]
    300
     
     
    a| xvi, 495 pages : b| illustrations ; c| 23 cm.
    336
     
     
    a| text b| txt 2| rdacontent
    337
     
     
    a| unmediated b| n 2| rdamedia
    338
     
     
    a| volume b| nc 2| rdacarrier
    490
    1
     
    a| Mouton textbook
    504
     
     
    a| Includes bibliographical references.
    520
     
     
    a| This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters - one on mixed-effects modeling, one on classification and regression trees as well as random forests - plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials c| WorldCat
    650
     
    0
    a| Linguistics x| Statistical methods.
    650
     
    0
    a| R (Computer program language)
    830
     
    0
    a| Mouton textbook.
    910
     
     
    a| jz b| kkl c| wsl
    998
     
     
    a| book b| 22-11-23
    945
     
     
    h| Supplement l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| GED217