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This book is based on the applications of mathematical programming techniques in multivariate sample surveys. The various multi-objective techniques namely chebyshev approximation, goal programming, lexicographic goal programming,fuzzy programming, D1-distances, E- constraint, value function and Distance-based etc., have been used to solve the multi-objective multivariate stratified sample survey problems. The non response case in multi-objective multivariate stratified sample surveys problem is also considered and the compromise allocations of samples are obtained. Allocation problems arising in sample surveys with stochastic parameters have also been discussed. The problems are solved by first deriving the deterministic equivalents and then by using a suitable convex programming algorithm. The new cut method, confidence interval and geometric programming are used to obtain the allocations in sample surveys.
Biografía del autor
Irfan Ali received M.Sc. M. Phil. and Ph.D.in Statistics from Aligarh Muslim University,Aligarh, India. He has more than 4 years of experience in research and his current area of research includes Mathematical Programming, Transportation, Sample Surveys and Reliability. He has published more than 25 research papers in reputed journals.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2014
- ISBN 10 3659135526
- ISBN 13 9783659135521
- EncuadernaciónTapa blanda
- Número de páginas232
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Taschenbuch. Condición: NEW. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is based on the applications of mathematical programming techniques in multivariate sample surveys. The various multi-objective techniques namely chebyshev approximation, goal programming, lexicographic goal programming,fuzzy programming, D1-distances, E- constraint, value function and Distance-based etc., have been used to solve the multi-objective multivariate stratified sample survey problems. The non response case in multi-objective multivariate stratified sample surveys problem is also considered and the compromise allocations of samples are obtained. Allocation problems arising in sample surveys with stochastic parameters have also been discussed. The problems are solved by first deriving the deterministic equivalents and then by using a suitable convex programming algorithm. The new cut method, confidence interval and geometric programming are used to obtain the allocations in sample surveys. 232 pp. Englisch. Nº de ref. del artículo: 9783659135521
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Mathematical Programming in Sample Surveys : Allocation Problems in Multivariate Sampling
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Taschenbuch. Condición: NEW. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is based on the applications of mathematical programming techniques in multivariate sample surveys. The various multi-objective techniques namely chebyshev approximation, goal programming, lexicographic goal programming,fuzzy programming, D1-distances, E- constraint, value function and Distance-based etc., have been used to solve the multi-objective multivariate stratified sample survey problems. The non response case in multi-objective multivariate stratified sample surveys problem is also considered and the compromise allocations of samples are obtained. Allocation problems arising in sample surveys with stochastic parameters have also been discussed. The problems are solved by first deriving the deterministic equivalents and then by using a suitable convex programming algorithm. The new cut method, confidence interval and geometric programming are used to obtain the allocations in sample surveys. Nº de ref. del artículo: 9783659135521
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Condición: NEW. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali IrfanIrfan Ali received M.Sc. M. Phil. and Ph.D.in Statistics from Aligarh Muslim University,Aligarh, India. He has more than 4 years of experience in research and his current area of research includes Mathematical Programming, T. Nº de ref. del artículo: 5134001
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