ISBN: 9783659347245 - modeling of family income & savings using interval regression (9 risultati)

Condizione: New. pp. 100.

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Taschenbuch. Condizione: Neu. Modeling of Family Income & Savings Using Interval Regression | Muhammad Mushtaq | Taschenbuch | 100 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659347245 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan. 100 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan.…

Condizione: New. Print on Demand pp. 100 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mushtaq MuhammadThe Author having M.Phil. Statistics Degree and PGD (Computer Sciences) is expert in Data Analysis and Research Report Writing. Number of research publications are on his credit. The Author is currently attached with .…

Condizione: New. PRINT ON DEMAND pp. 100.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 100 pp. Englisch.…