Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Z. Govindarajulu"'
Autor:
Z. Govindarajulu
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 23, Iss 6, Pp 415-423 (2000)
We develop a risk-efficient sequential procedure for estimating the parameter θ of the uniform density on (0,θ). We give explicit expressions for the distribution of the stopping time and derive its expectation and variance. We also tabulate the va
Externí odkaz:
https://doaj.org/article/ce1bcb04d87d4df4a0d62a7927dd20d5
Autor:
Z. Govindarajulu
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 18, Iss 2, Pp 383-390 (1995)
Sequential fixed-width confidence intervals are obtained for the scale parameter σ when the location parameter θ of the negative exponential distribution is unknown. Exact expressions for the stopping time and the confidence coefficient associated
Externí odkaz:
https://doaj.org/article/1bcd14af1a664292a706147298ca9e69
Autor:
Z. Govindarajulu
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 8, Iss 3, Pp 549-554 (1985)
A simple proof of the exponential boundedness of the stopping time of the one-sample sequential probability ratio tests (SPRT's) is obtained.
Externí odkaz:
https://doaj.org/article/9c626364f50c4d14b9a72a561cbca7bd
Autor:
Z. Govindarajulu
Publikováno v:
Statistics. 45:575-591
An important question that arises in clinical trials is how many additional observations, if any, are required beyond those originally planned. This has satisfactorily been answered in the case of two-treatment double-blind clinical experiments. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd70f52ae870e102d213a23c7a88a07
https://doi.org/10.1080/02331881003675971
https://doi.org/10.1080/02331881003675971
Autor:
Joe Gani, David J. Hand, Norman R. Draper, Philip Hans Franses, Harry J. Khamis, Henry P. Wynn, Sadao Tomizawa, Ian L. Dryden, Kanti V. Mardia, Steven B. Caudill, André I. Khuri, Phil Prescott, V. S. Sampath Kumar, Raghu Kacker, Z. Govindarajulu, Toby Lewis, Megha Agrawal, Shrijeet Chakraborti, Geoff McLachlan, Steven G. Gilmour, Dayanand N. Naik
Publikováno v:
Journal of Applied Statistics. 35:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94f50f0aed179a5a38f102143c4b447f
https://doi.org/10.1080/02664760701814495
https://doi.org/10.1080/02664760701814495
Autor:
Z Govindarajulu
Publikováno v:
Journal of Statistical Theory and Practice. 1:253-264
A question of importance that arises in clinical trials pertains to the number of additional observations, if any, that are required beyond those initially planned. This has been answered in the case of two-treatment double blind clinical experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a2f2f7291f1b3fd26c019d812d9b91d
https://doi.org/10.1080/15598608.2007.10411837
https://doi.org/10.1080/15598608.2007.10411837
Autor:
Z. GOVINDARAJULU
Publikováno v:
Proceedings of Indian National Science Academy, Vol 6, Iss 9 (2015)
WEAK LAWS OF LARGE NUMBERS FOR DEPENDENT SUMMANDS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::2a921486ed4342945aff775918d1d108
https://insa.nic.in/writereaddata/UpLoadedFiles/PINSA/20005a84_1013.pdf
https://insa.nic.in/writereaddata/UpLoadedFiles/PINSA/20005a84_1013.pdf
Autor:
N. Wang, Z. Govindarajulu
Publikováno v:
American Journal of Mathematical and Management Sciences. 26:199-210
An accelerated sequential risk-efficient procedure for estimating the mean of an arbitrary distribution is considered. This procedure is a modified version of that discussed in Govindarajulu (2001). Second order expansion for the risk is obtained and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::273867cc50f2d254c38bb110b5319056
https://doi.org/10.1080/01966324.2006.10737671
https://doi.org/10.1080/01966324.2006.10737671
Autor:
A.A Dmitrienko, Z. Govindarajulu
Publikováno v:
Sequential Analysis. 24:219-236
This paper discusses sequential maximum-likelihood estimation in binary response models arising in medical applications. Using earlier results by the same authors, it is shown that a properly chosen sequential maximum-likelihood estimate can be utili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a53200935dd757904bdaf13e344e879
https://doi.org/10.1081/sqa-200056202
https://doi.org/10.1081/sqa-200056202