A Brief Introduction to Regression Analysis and Its Types
Asian Journal of Probability and Statistics,
This article may be used for research, teaching, and private study purposes. In this study, I focused on regression analysis and with a special focus on types of regression analysis and some types of regression. The term regression is used to indicate the estimation or prediction of the average value of one variable for a specified value of another variable. And Regression Analysis is a statistical tool used to estimate the relationship between a dependent variable and an independent variable. For example, if a Manger of a firm wants to the exact relationship between advertisement expenditure and sales for future planning then the regression technique will be most suitable for him.
- types of regression
How to Cite
Cook RD, Weisberg S. Applied Regression Including Computing and Graphics, New York: Wiley; 1999.
Draper NR, Smith H. Applied regression analysis. John Wiley & Sons. 1998;326.
Fox J. Applied Regression Analysis, Linear Models, and Related Methods, Thousand Oaks, CA: Sage Publications; 1997.
Hamilton LC. Regression with Graphics: A Second Course in Applied Statistics, Belmont, CA: Wadsworth; 1992.
Montgomery DC, Peck EA, Vining G. Introduction to Linear Regression Analysis (3rd ed.), Hoboken, NJ: Wiley; 2001.
Ahmadzai WK, Aryobi HG. Natural and Socio-economics factors affecting the household food security in rural area of Paktia province, Afghanistan. Asian Journal of Agricultural Extension, Economics & Sociology. 2021;1-11.
Weisberg S. Applied Linear Regression (2nd ed.), New York: Wiley; 1985.
Walker E, Wright SP. Comparing curves using additive models. Journal of Quality Technology. 2002; 34:118–129.
Davis CS. Statistical Methods for the Analysis of Repeated Measurements, New York: Springer-Verlag; 2002.
Neter J, Kutner MH, Nachtsheim CJ, Wasserman W. Applied Linear Statistical Models (4th ed.), Boston: McGraw-Hill; 1996.
Draper NR, Smith H. Applied Regression Analysis (3rd ed.), New York: Wiley; 1998.
Fahrmeir L, Kneib T, Lang S, Marx B. Regression. Springer-Verlag Berlin Heidelberg; 2007.
Ryan TP. Modern regression methods. John Wiley & Sons. 2008;655.
Weisberg S. Applied linear regression. John Wiley & Sons. 2005;528.
Wright RE. Logistic regression; 1995.
Seber GA, Lee AJ. Linear regression analysis. John Wiley & Sons. 2012;329.
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