Ordered regression models : parallel, partial, and non-parallel alternatives / Andrew S. Fullerton and Jun Xu.

By: Fullerton, Andrew S Contributor(s): Xu, Jun [author]Material type: Text

TextLanguage: English Series: Library edition : statistics: regression analysisPublication details: Boca Raton : CRC Press, 2020. Description: xv, 171 p. ; ill. : 27 cmISBN: 9780367833268Subject(s): Regression analysisDDC classification: 519.536

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode	Item holds
Textbooks	Central Library, TU Textbook Section (Consult Shelf-Guide to locate the book)	Central Library, TU	519.536 FUL (Browse shelf(Opens below))	Available		111175

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Previous	519.536 EUB Nonparametric regression and spline smoothing /	519.536 EYE Regression analysis for social sciences /	519.536 FOX Regression diagnostics /	519.536 FUL Ordered regression models : parallel, partial, and non-parallel alternatives /	519.536 GUN Regression analysis and its application : a data-oriented approach /	519.536 KAH Regression basics /	519.536 KEI Multiple regression and beyond: an introduction to multiple regression and struc /	Next

Includes bibliographical references and index.

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