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Generalized Multivariate Ratio and Regression Estimators
Details
The concept of two-phase sampling was first given by Neyman (1938), later on several simple and general regression and ratio estimators have been suggested, starting from Mohanty (1967), Srivastava (1970), Chand (1975), Kiregyera (1980, 84), Mukerjee et al. (1987), Srivastava et al.(1990), Roy (2003)and Samiuddin and Hanif (2006,07). Use of multi-auxiliary information for ratio and regression estimators, were considered, by Olkin (1958), Goswami and Sukhatme (1965), Raj (1965), Rao and Mudholkar (1967), Tripathi (1970, 1976), Tripathi and Ahmed (1995), Sen (1972), Tripathi (1987), Singh and Namjoshi (1988), Tripathi and Khattree (1989), Tripahi and Chaubey (1993), Ahmed (2003), Martin and Steven (2004) and Ahmad at el. (2008). In this monograph we have provided general classes of regression and ratio estimators for two-phase and multi-phase sampling using multi-auxiliary variables for estimating single as well as multiple variables of interest.The theoretical developments provided in this monograph can be useful in multipurpose surveys in which the problem is to estimate population means of several variables simultaneously in the field like agricultural, forestry etc.
Autorentext
Dr. Muhammad Hanif, Professor in Statistics, Lahore University of Management Sciences (LUMS), Lahore, Pakistan and Dr. Zahoor Ahmad did his Ph D under his supervision and currently working as Assistant Professor(TTS)/Head, Department of Statistics, University of Gujrat, Pakistan.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838346786
- Sprache Englisch
- Größe H220mm x B150mm x T13mm
- Jahr 2010
- EAN 9783838346786
- Format Kartonierter Einband
- ISBN 3838346785
- Veröffentlichung 17.02.2010
- Titel Generalized Multivariate Ratio and Regression Estimators
- Autor Zahoor Ahmad , Muhammad Hanif
- Untertitel Generalized Univariate and Multivariate Ratio and Regression Estimators for Two-Phase and Multi-Phase Sampling using Multi-Auxiliary Variables
- Gewicht 328g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 208
- Genre Mathematik