Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Elena M. Buzaianu"'
Publikováno v:
Sequential Analysis. 42:56-69
Autor:
Cecelia K. Schmidt, Elena M. Buzaianu
Publikováno v:
Sequential Analysis. 41:435-450
Publikováno v:
Communications in Statistics - Theory and Methods. :1-21
Publikováno v:
Sankhya B. 84:320-339
This paper is concerned with a closed adaptive sequential procedure for selecting a random-size subset containing experimental treatments that are better than a standard. All the k treatments under considerations are measured by two endpoints account
Autor:
Elena M. Buzaianu
Publikováno v:
Sequential Analysis. 38:184-198
In this article we consider the problem of comparing several Bernoulli populations in order to identify the population producing the largest success probability that is also larger than a g...
Autor:
Pinyuen Chen, Elena M. Buzaianu
Publikováno v:
Sankhya B. 80:151-177
The problem of comparing several experimental treatments to a control arises frequently in clinical trials. Various multi-stage randomized phase II/III designs have been proposed for the purpose of selecting one or more promising experimental treatme
Publikováno v:
Communications in Statistics - Theory and Methods. 46:7887-7901
Consider k( ⩾ 2) normal populations whose means are all known or unknown and whose variances are unknown. Let σ2[1] ⩽ ⋅⋅⋅ ⩽ σ[k]2 denote the ordered variances. Our goal is to select a non empty subset of the k populations whose size is
Autor:
Elena M. Buzaianu, Pinyuen Chen
Publikováno v:
Sequential Analysis. 34:441-460
In this article, we propose a Stein-type two-sample procedure for comparing the means of k(> 1) experimental normal populations among themselves and with the reference to the mean of a controlled normal population, when the variances of all (k + 1) p
Autor:
Elena M. Buzaianu, Pinyuen Chen
Publikováno v:
American Journal of Mathematical and Management Sciences. 33:176-193
SYNOPTIC ABSTRACTIn this article we study the problem of selecting among k independent Bernoulli populations whose success probabilities are unknown, and the sample size for each population is assumed to follow a discrete uniform distribution with kn
Autor:
Tracy L. Ricke, Elena M. Buzaianu, Vivek Kumar, Colleen Kalynych, Phyllis L. Hendry, Colby Redfield
Publikováno v:
Pediatric Emergency Care. 27:922-927
OBJECTIVES This study aimed to determine the incidence of elevated triage blood pressure (BP) in pediatric emergency patients and to evaluate its recognition by health care practitioners. METHODS This retrospective review randomly selected patients s