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020 _a9781529682625
020 _a1529682622
020 _a9781529762679
020 _a1529762677
020 _a9781529762686
020 _a1529762685
035 _a(MiAaPQ)EBC6897222
035 _a(Au-PeEL)EBL6897222
035 _a(CKB)21325630200041
035 _a(OCoLC)1305005936
035 _a(CaToSAGE)SAGE000019015
035 _a(FR-PaCSA)88942647
035 _a(FRCYB88942647)88942647
035 _a(EXLCZ)9921325630200041
040 _aMiAaPQ
_beng
_erda
_epn
_cAMIU
_dMiAaPQ
050 4 _aQA76.9
_b.Q4M37 2021
082 0 _a001.42
_223
100 1 _aMartin, Peter,
_eauthor.
245 1 0 _aRegression models for categorical and count data /
_cPeter Martin.
250 _aFirst edition.
260 _bSAGE Publications Ltd
_c2022
264 1 _aLondon :
_bSAGE Publications Ltd,
_c[2021]
264 4 _c©2021
300 _axix, 338 p.;
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aThe sage quantitative research kit
505 0 _aIntro -- Half Title -- Acknowledgements -- Title Page -- Copyright Page -- Contents -- Illustration List -- About the Author -- Acknowledgements -- Preface -- 1 Introduction -- 2 Logistic Regression -- 3 Ordinal Logistic Regression: The Generalised Ordered Logit Model -- 4 Multinomial Logistic Regression -- 5 Regression Models for Count Data -- 6 The Practice of Modelling -- Glossary -- References -- Index.
520 _aIn this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs.
583 _aCataloging Notes:
_c20251030
_kSTAMIU-0199STAMIU-0199
588 _aDescription based on print version record.
650 0 _aQuantitative research.
650 0 _aCategories (Mathematics)
_xData processing.
650 0 _aMathematical models. .
776 0 8 _iPrint version:
_aMartin, Peter
_tRegression Models for Categorical and Count Data
_dLondon : SAGE Publications,c2022
_z9781529761269
776 0 8 _z1529761263
830 4 _aThe SAGE Quantitative Research Kit
906 _aBOOK
942 _2lcc
_cBK
_n0
999 _c21798
_d21798