Log in

Relevant bibliographies by topics / Ordinal regression analysis / Books

To see the other types of publications on this topic, follow the link: Ordinal regression analysis.

Books on the topic 'Ordinal regression analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 24 books for your research on the topic 'Ordinal regression analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Inc, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Incorporated, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Incorporated, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Jr, Harrell Frank E. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer London, Limited, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Jr, Harrell Frank E. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer International Publishing AG, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

Ordinal methods for behavioral data analysis. Erlbaum, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Abledu, Godfred. Ordinal Regression Analysis of Students' Satisfaction with Academic Support Services Provided by Polytechnics in Ghana. GRIN Verlag GmbH, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Logistic Regression Models for Ordinal Response Variables (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Palta, Mari. Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Palta, Mari. Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Series in Probability and Statistics). Wiley-Interscience, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

Full text

Abstract:

This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particu

APA, Harvard, Vancouver, ISO, and other styles

21

Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

Full text

Abstract:

This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those

APA, Harvard, Vancouver, ISO, and other styles

22

Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

Full text

Abstract:

This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R

APA, Harvard, Vancouver, ISO, and other styles

23

NANDE-VÁZQUEZ, Edgard Alfredo, Teodoro REYES-FONG, and Omar Alejandro PÉREZ-CRUZ. The Generalized Least Squares Method (GMM) as a tool for causal analysis of spending, budget management and electoral results. ECORFAN, 2021. http://dx.doi.org/10.35429/b.2021.8.1.130.

Full text

Abstract:

In the different fields of science, many times, there is a need to estimate the associations between variables, as an approach to understanding the interaction of one as a function of the others. It is usually done by applying restrictive models, such as analysis of variance and linear regression. This type of analysis requires that the dependent variable be continuous, have a normal and constant distribution of the mean and variance. However, when the dependent variable is discrete or categorical, the linear model is not viable. Faced with this impediment, the theory of linear models arises a

APA, Harvard, Vancouver, ISO, and other styles

24

Mott IV, William H. United States Military Assistance. Praeger, 2002. http://dx.doi.org/10.5040/9798216030584.

Full text

Abstract:

This interdisciplinary study examines the relationships between the provision of military assistance and success in achieving donor aims in history and theory, based upon an initial proposition that the relationship between donor and recipient is a critical determinant of success or failure. Mott builds upon his previous research of general historical and Soviet case studies which focuses on four initial features of the wartime donor-recipient relationship: convergence of aims; donor control, commitment of donor military forces, and coherence of donor policies and strategies. To this foundatio

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!