Regression and Linear Modeling: Best Practices and Modern Methods (Record no. 109286)

MARC details
000 -LEADER
fixed length control field 01635nam a2200169 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171210b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781506302768
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.536
Item number OSB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Osborne, Jason W.
9 (RLIN) 22959
245 ## - TITLE STATEMENT
Title Regression and Linear Modeling: Best Practices and Modern Methods
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage Publications, Inc.
Date of publication, distribution, etc 2017
Place of publication, distribution, etc New Delhi
300 ## - PHYSICAL DESCRIPTION
Extent 457p
500 ## - GENERAL NOTE
General note 1: A Nerdly Manifesto<br/>2: Basic Estimation and Assumptions<br/>3: Simple Linear Models With Continuous Dependent Variables: Simple Regression Analyses<br/>4: Simple Linear Models With Continuous Dependent Variables: Simple ANOVA Analyses<br/>5: Simple Linear Models With Categorical Dependent Variables: Binary Logistic Regression<br/>6: Simple Linear Models With Polytomous Categorical Dependent Variables: Multinomial and Ordinal Logistic Regression<br/>7: Simple Curvilinear Models<br/>8: Multiple Independent Variables<br/>9: Interactions Between Independent Variables: Simple moderation<br/>10: Curvilinear Interactions Between Independent Variables<br/>11: Poisson Models: Low-Frequency Count Data as Dependent Variables<br/>12: Log-Linear Models: General Linear Models When All of Your Variables Are Unordered Categorical<br/>13: A Brief Introduction to Hierarchical Linear Modeling<br/>14: Missing Data in Linear Modeling<br/>15: Trustworthy Science: Improving Statistical Reporting<br/>16: Reliable Measurement Matters<br/>17: Prediction in the Generalized Linear Model<br/>18: Modeling in Large, Complex Samples: The Importance of Using Appropriate
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
Personal name Regression Analysis
9 (RLIN) 24969
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
Personal name Linear Models
9 (RLIN) 9168
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Book
Call number prefix 519.536
Call number suffix OSB

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