摘要:

Two alternative structuraltstatistics for simultaneous equation models are derived. The statistics could be used to test hypotheses or construct confidence intervals for coefficients in econometric models. It is demonstrated that the exact distribution functions converge to Student'st-distribution function as the concentration parameter increases. Computations of the variance of thet-statistics indicate the degree of approximation afforded by the limiting distribution functions.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481557

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

Letf(x) be a probability density function with respect to the non-atomic measure μ, over the set χ. Supposef(x) = exp [Σmi = 1τiϕi(x) − ψm(τ)] for × ∈ χ, where ψm(τ) = ψm(τ1, τ2, …,τm) is well-defined by exp [ψm(τ)] = ∫ exp [Σmi= 1,τiϕi,(x)]dμ(x) when the right side is finite, and the integration is over χ. Let ϕ0(x) ≡ 1 on χ and assume {ϕi(X)}mi= 0is a collection of functions which satisfy the Haar Condition. Using convexity properties, we obtain some results on the almost sure existence or nonexistence of the MLE for τ.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481558

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481559

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

There are growing demands to use prior and sample information for parameter estimation of a regression model in order to maintain consistency with underlying theory. To meet such demands, this paper provides an inequality constrained least-squares (ICLS) estimation, specifies an untruncated variance-covariance matrix of the ICLS estimates, and discusses their statistical properties in large-and small-sample cases. Finally, the ICLS and the ordinary least-squares OLS estimates are compared in terms of sample bias, sample mean-square error MSE and sample variance of the estimates by a Monte Carlo study.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481560

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

Suppose that we are givenk(≥1) independent and normally distributed populations π1, …,πk, whereπihas unknown mean μiand unknown varianceσi2(i= 1, …,k). Let μ[k]denote the largest of the means μ1, …,μk. A two-stage procedure is developed which provides a confidence interval for μ[k] with fixed width. Tables needed to apply the procedure are provided.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481561

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

We present a new recursion for counting the number of paths which ever attain a given height. Using this recursion, we calculate exact critical values for the one-sided two-sample Kolmogorov-Smirnov statistic fornandm= 3(1)30 and for significance levels α = 0.10, 0.05 and 0.01.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481562

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481563

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

In some studies involving numerical responses from human subjects (for instance, time allocation studies, and age reporting) an effect called “heaping” is observed. In many cases, such data must be “smoothed” before they can be used. Thus, it is of interest to know the nature of the properties of a frequency function which may be lost in its smoothed version. For those smoothing functions that can be expressed in terms of matrix multiplication; this paper connects properties preserved by the function to properties of its corresponding matrix.

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481564

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

Data Analysis for Politics and Policy, Edward R. Tufte. Englewood Cliffs, New Jersey: Prentice-Hall, 1974. × + 179 pp. $3.95 (paperback). Reviewed by Sanford Weisberg

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481565

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor

摘要:

This article has no abstract

ISSN:0162-1459    

DOI:10.1080/01621459.1976.10481526

出版商:Taylor & Francis Group    

年代:1976

数据来源: Taylor