Asymptotic properties of a generalized regression-type predictor of a finite population variance in probability sampling

A system of predictors for estimating a finite population variance is defined and shown to be asymptotically design-unbiased (ADU) and asymptotically design-consistent (ADC) under probability sampling. An asymptotic mean squared error (MSE) of a generalized regression-type predictor, generated from the system, is obtained. The suggested predictor attains the minimum expected variance of any design-unbiased estimator when the superpopulation model is correct. The generalized regression-type predictor and the predictor suggested by Mukhopadhyay (1990) are compared.     

Relational networks: An extension of sociometric concepts

Conventional dyadic sociometric techniques are shown to be inadequate for dealing with substantively important complex relationships. An extension of the concept of relationship is proposed to encompass these more complex structures, and some elementary formal properties of the resulting networks (known as bipartite graphs) are examined. Preliminary applications are made to problems concerning partitions of a population induced by a structure and boundaries of observability in organizations.     

Projective (2n,n,λ,1)-designs

A projective (2n,n,λ,1)-design is a set $\text{D}$ of n element subsets (called blocks) of a 2n-element set V having the properties that each element of V is a member of λ blocks and every two blocks have a non-empty intersection. This paper establishes existence and non-existence results for various projective (2n,n,λ,1)-designs and their subdesigns.     

On the equivalence of some test criteria based on BAN estimators for the multivariate exponential family

For the general multivariate exponential family of distributions it is shown that Rao's test criterion based on efficient scores is algebraically identical to the general chi-squared criterion based on maximum likelihood estimates and, similarly, that the Wald statistic is algebraically identical to the general minimum modified chi-squared statistic using linearization; these results are valid also for the multisample versions. Thus, these are extensions to the general exponential family of the findings due to Silvey (1970) and Bhapkar (1966), respectively, for the special case of the multinomial family.It is also shown that the general forms of the chi-squared and modified chi-squared criteria reduce to their respective well-known forms for the multivariate symmetric power series distribution. This finding is, thus, an extension of results noted by Ferguson (1958) and Clickner (1976) for the special case of the multinomial distribution.     

The Development of Urban Neighbourhoods and the Benefit of Indication Systems

The last few years much use is being made ofso-called indication systems to map the development ofneighbourhoods. It is hoped that these systems quicklybring possible livability problems to light, so thatpeople can intervene in accordance with policy.In this article the advantages and pitfalls of such anindication system are gone into. Such a system has totake into account the fact that the development ofneighbourhoods does not have a fixed pattern.Furthermore the much-used objective indicators oftendo not mesh with the subjective perception ofresidents and the appraisal processes ofprofessionals. Also much more consideration will haveto be given to social characteristics, which in ourday have become increasingly more determining for thelivability of neighbourhoods. It is also importantthat the action of managers be part of acharacterization of neighbourhoods. It is being arguedthat an indication system cannot be confined toregistering indicators and other data, for it has todirectly contribute to policy interventions. That iswhy a good indication system takes both facts and creation of an image into account, as well aslivability characteristics and theconsiderations of residents and managers. In a fewbrief concluding observations, the different functionsan indication system can have as a policy instrumentare gone into.     

Disaster and deritualization: A re-interpretation of findings from early disaster research

This study investigates how ritual practices are disrupted in disasters and the ways people deal with those situations. We employ structural ritualization theory to conduct this investigation focusing on deritualization, which refers to the breakdown or loss of ritualized activities that occur in daily life. The thesis of this paper is that ritual practices are disrupted in a disaster leading to the breakdown of action and meaning. Data were collected from 19 seminal sociological studies from the National Academy of Sciences published first under the name of the Committee on Disaster Studies (1951–1957) and then under the rubric of the Disaster Research Group (1957–1962). A content analysis of these studies revealed many instances of deritualization. Deritualization is manifested or most evident through its effects on action and meaning in rituals. Examples were categorized according to the loss of action, meaning, or a combination of both.     

Approximate optimal allocation in repeated sampling from a finite population

Samples of size n are drawn from a finite population on each of two occasions. On the first occasion a variate x is measured, and on the second a variate y. In estimating the population mean of y, the variance of the best linear unbiased combination of means for matched and unmatched samples is itself minimized, with respect to the sampling design on the second occasion, by a certain degree of matching. This optimal allocation depends on the population correlation coefficient, which previous authors have assumed known. We estimate the correlation from an initial matched sample, then an approximately optimal allocation is completed and an estimator formed which, under a bivariate normal superpopulation model, has model expected mean square error equal, apart from an error of order n^-2, to the minimum enjoyed by any linear, unbiased estimator.     

The foundations of econometrics-are there any

The conclusions of alogically consistent economic theory which strictly adheres to Aristotle's axioms of logic are factually true if its sufficient conditions are all factually true. Alternatively, if a conclusion of such a theory is false, then at- least one of its assumptions is false. Unfortunately, the factual truth of sufficient conditions cannot be established because the problem of induction i s impossible t o solve. It is algo true that the falsity of a conclusion cannot be established in the presence of uncertainty. While the philosophy of instrumentalism applied to sufficient and logically consistent explanations may provide useful solutions to immediate practical problems, the principles of simplicity, parsimony and profligacy--all of them requiring conditional deductive arguments--are useless as criteria for model choice.