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Estimation of more than one parameters in stratified sampling with fixed budget
Varshney, Rahul; Najmussehar; Ahsan, M. J. - In: Mathematical methods of operations research 75 (2012) 2, pp. 185-197
Persistent link: https://www.econbiz.de/10009533438
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Estimation of more than one parameters in stratified sampling with fixed budget
Varshney, Rahul; Ahsan, M. J. - In: Mathematical methods of operations research 75 (2012) 2, pp. 185-198
Persistent link: https://www.econbiz.de/10009978592
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A study of testing-effort dependent inflection S-shaped software reliability growth models with imperfect debugging
Ahmad, N.; Khan, M. G. M.; Rafi, L. S. - In: International journal of quality & reliability management 27 (2010) 1, pp. 89-110
Persistent link: https://www.econbiz.de/10008647076
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Modelling and analysis of software reliability with Burr type X testing-effort and release-time determination
Ahmad, N.; Khan, M. G. M.; Quadri, S. M. K.; Kumar, M. - In: Journal of modelling in management 4 (2009) 1, pp. 28-54
Persistent link: https://www.econbiz.de/10003848332
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Optimum allocation in multivariate stratified random sampling with overhead cost
Ahsan, M. J.; Khan, S. U. - In: Metrika : international journal for theoretical and … 29 (1982) 2, pp. 71-78
Persistent link: https://www.econbiz.de/10001811957
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Estimation of more than one parameters in stratified sampling with fixed budget
Varshney, Rahul; Najmussehar; Ahsan, M. - In: Computational Statistics 75 (2012) 2, pp. 185-197
In a multivariate stratified sampling more than one characteristic are defined on every unit of the population. An optimum allocation which is optimum for one characteristic will generally be far from optimum for others. A compromise criterion is needed to work out a usable allocation which is...
Persistent link: https://www.econbiz.de/10010759195
Cover Image
Estimation of more than one parameters in stratified sampling with fixed budget
Varshney, Rahul; Najmussehar; Ahsan, M. - In: Mathematical Methods of Operations Research 75 (2012) 2, pp. 185-197
In a multivariate stratified sampling more than one characteristic are defined on every unit of the population. An optimum allocation which is optimum for one characteristic will generally be far from optimum for others. A compromise criterion is needed to work out a usable allocation which is...
Persistent link: https://www.econbiz.de/10010949980