Applications of Regression Techniques

Manoranjan Pal, former Professor at the Economic Research Unit (ERU), Indian Statistical Institute (ISI), obtained his Ph.D. in Statistics from the Indian Statistical Institute. He has held visiting faculty positions at academic and government institutions in various countries, including the National Statistical Office of Mongolia; South Asia Institute (SAI), University of Heidelberg, Germany; Centre for Operations Research and Econometrics (CORE), Louvain la Neuve University, Belgium; Institute of Mathematical Sciences, Faculty of Science, University of Malay, Malaysia; and the Department of Statistics, Rajshahi University, Bangladesh. He was Member Secretary of the International Statistical Education Centre for more than ten years. He has published over 100 research papers in reputed national and international journals and books. His research interests include measurement of poverty, inequality and segregation, applied econometrics, measurement of health and nutrition status, gender bias and empowerment of women. Premananda Bharati, former Professor at the Indian Statistical Institute, obtained his Ph.D. in Anthropology from the University of Calcutta. He has extensive teaching experience, including teaching courses in Anthropology to graduate and postgraduate students at the Indian Statistical Institute and other universities, including institutes abroad. He is an examiner and paper setter in Anthropology for various universities, and reviews papers for a number of journals. He has published more than 100 papers in reputed national and international journals. His research interests include nutrition and health, anthropometry, empowerment of women and tribal communities.

Chapter 1: Introduction to Regression Analysis and an overview of the techniques used in the book.-  Chapter 2: Regression Decomposition Technique towards Finding Intra-Household Gender Bias of Calorie Consumption.- Chapter 3: Estimation of Poverty Rates by Calorie Decomposition Method.- Chapter 4: Estimating Calorie-Poverty Rates through Regression.- Chapter 5: Contribution of Regressors: A Set Theoretic Approach.- Chapter 6: Estimation of Hidden Markov Chain through Regression.- Chapter 7: Finding Geometric Mean and Aggregate Growth Rate through regression.- Chapter 8: Summary and Discussions.