摘要:

Rao and Bayless [18] empirically investigated the stabilities of estimators of the population total and stabilities of their variance estimators for several methods of unequal probability sampling of two units (n=2) per stratum. In this article, after deriving the variances of variance estimators for generalnfor the following methods: (a) the I.P.P.S. (inclusion probabilities proportional to size) methods of Fellegi, Sampford and Carroll-Hartley, (b) Des Raj's and Murthy's methods, (c) the Rao-Hartley-Cochran method, (d) Lahiri's method using a ratio estimator and (e) p.p.s. sampling with replacement using the customary estimator, we perform empirical studies forn= 3 and 4 along the lines of our previous article. A major conclusion is that Murthy's method may be preferable over the other methods when a stable estimator as well as a stable variance estimator are required.

ISSN:0162-1459    

DOI:10.1080/01621459.1970.10481195

出版商:Taylor & Francis Group    

年代:1970

数据来源: Taylor

摘要:

A prediction interval onkfuture observations is an interval which is said to contain the values of allksuch observations with a specified probability based on the results of a past sample ofnobservations from the same population. Such an interval is frequently required in practical applications. This article provides factors for a normal distribution for

ISSN:0162-1459    

DOI:10.1080/01621459.1970.10481196

出版商:Taylor & Francis Group    

年代:1970

数据来源: Taylor

摘要:

The Future of Statistics, Donald G. Watts, ed. New York: Academic Press, 196S. xvi + 315 pp. $15.50. Reviewed by Ivor Francis

ISSN:0162-1459    

DOI:10.1080/01621459.1970.10481197

出版商:Taylor & Francis Group    

年代:1970

数据来源: Taylor

摘要:

This article has no abstract

ISSN:0162-1459    

DOI:10.1080/01621459.1970.10481174

出版商:Taylor & Francis Group    

年代:1970

数据来源: Taylor