Cantitate/Preț
Produs
Total produse
Vezi coșul
Linear Regression: An Introduction to Statistical Models de Peter Martin

Linear Regression: An Introduction to Statistical Models: The SAGE Quantitative Research Kit

Autor Peter Martin
en Limba Engleză Electronic book text – 8 apr 2022
Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing:

·       Linear regression, including dummy variablesand predictor transformations for curvilinear relationships

·       Binary, ordinal and multinomial logistic regression models for categorical data

·       Models for count data, including Poisson, negative binomial, and zero-inflated regression

·       Checking model assumptions and the dangers of overfitting

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 28661 lei  3-5 săpt. +1932 lei  7-13 zile
  SAGE Publications – 20 mar 2022 28661 lei  3-5 săpt. +1932 lei  7-13 zile
Electronic book text (1) 19134 lei  Precomandă
  SAGE Publications – 8 apr 2022 19134 lei  Precomandă

Din seria The SAGE Quantitative Research Kit

  • Linear Regression: An Introduction to Statistical Models
    Preț: 28661 lei
  • Introduction to Modern Modelling Methods
    Preț: 28837 lei
  • Statistical Approaches to Causal Analysis
    Preț: 28770 lei
  • Statistical Inference and Probability
    Preț: 28698 lei
  • Survey Research and Sampling
    Preț: 28914 lei
  • Beginning Quantitative Research
    Preț: 29323 lei
  • Exploratory and Descriptive Statistics
    Preț: 29673 lei
  • Archival and Secondary Data
    Preț: 28630 lei
  • Big Data Mining and Complexity
    Preț: 28712 lei
  • Regression Models for Categorical and Count Data
    Preț: 28780 lei
  • Experimental Designs
    Preț: 29579 lei

Preț: 19134 lei

Precomandă

Puncte Express: 287
Preț estimativ în valută:
3106€ • 3623$ • 2715£

Nepublicat încă

 Precomandă

Wish list
Gift list
Adaugă în listă
Doresc să fiu notificat când acest titlu va fi disponibil:
Trimite
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781529711066
ISBN-10: 1529711061
Pagini: 200
Dimensiuni: 170 x 242 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Seria The SAGE Quantitative Research Kit

Locul publicării:London, United Kingdom

Cuprins

What is a statistical model
Simple linear regression
Assumptions and transformations
Multiple linear regression: A model for multivariate relationships
Multiple linear regression: Inference, assumptions, and standardization
Where to go from here

Descriere

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.


Recenzii

Martin provides a comprehensive account of linear regression and offers a detailed and practical guide on how to interpret all the coefficients and statistics included in a model - a valuable resource for social scientists at all stages in their careers.

The first five chapters set up a clear and solid foundation for understanding statistical models covering a clear explanation of linear regression and its assumptions, the indicators of model fit and predictive power, methods for comparing models with one another as well as complicated cases involving interactions and transformed predictor variables. The final chapter, named ‘Where to Go From Here’, suggests some ways in which the reader could deepen their knowledge of regression, and includes the exploration of some paths that could be taken when/if linear regression is not a suitable model. This book is clearly written and accessible to anyone who has previous basic knowledge of descriptive and inferential statistics. Not only does it include flawless text and graphical explanations, but it is also linked with a support website that supplies data sets for most of the examples used. A big plus is the companion examples/exercises for the open-source software R.

Notă biografică

Peter Martin worked as a professional civil engineer for over 50 years starting in the days when calculations were carried out with the aid of slide rules and 7-figure log tables. During his career he designed and supervised construction of many bridges and harbour works in the UK and throughout the Far East, SE Asia, and Africa, living in the East with his family for 12 years. He has three grown-up sons and six grandchildren and now lives in a village near Glasgow where he attempts to keep the garden in some sort of order.