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Titlebook: Applications of Regression Techniques; Manoranjan Pal,Premananda Bharati Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Regression.

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發(fā)表于 2025-3-21 17:17:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications of Regression Techniques
影響因子2023Manoranjan Pal,Premananda Bharati
視頻videohttp://file.papertrans.cn/160/159552/159552.mp4
發(fā)行地址Addresses various unresolved questions faced by the applied researchers.Inspires researchers new to the field of model building, by showing how to develop simple models to answer difficult questions.P
圖書封面Titlebook: Applications of Regression Techniques;  Manoranjan Pal,Premananda Bharati Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Regression.
影響因子.This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building..
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https://doi.org/10.1007/978-3-658-26952-4separately for rural and urban India. The urban poverty ratios are found to be higher than the corresponding rural poverty ratios. This is because the activity status of people is not considered. The need for the daily calorie consumption of urban people is less because most of them they work less.
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ing real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building..978-981-13-9316-7978-981-13-9314-3
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Introduction to Correlation and Linear Regression Analysis, of the simple correlation coefficient. Multiple Linear Regression Model is an extension of Simple Linear Regression Model. In a multiple linear regression model, we have more than two independent variables. The goodness of fit in this case is measured by coefficient of determination which is the sq
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Estimating Calorie Poverty Rates Through Regression,dia, on calorie intakes. The estimates of the poverty rates found by this method are unbelievably high and call for further investigations. The reasons for getting such high estimates are discussed and a modification of the estimates is suggested in the paper. The modification leads to reasonable es
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