Application of Stein-type estimation in combining regression estimates from replicated experiments

This paper considers the application of Stein-type estimation procedure for the coefficients in a linear regression model when data are available from replicated experiment. Two families of estimators characterized by a single scalar are proposed and their large sample asymptotic properties are derived. These are utilized for comparing the performances of the two estimators along with the conventional estimator and conditions for the superiority of one estimator over the other are deduced.     

Dynamic reliability models with conditional proportional hazards

A dynamic approach to the stochastic modelling of reliability systems is further explored. This modelling approach is particularly appropriate for load-sharing, software reliability, and multivariate failure-time models, where component failure characteristics are affected by their degree of use, amount of load, or extent of stresses experienced. This approach incorporates the intuitive notion that when a set of components in a coherent system fail at a certain time, there is a jump from one structure function to another which governs the residual lifetimes of the remaining functioning components, and since the component lifetimes are intrinsically affected by the structure function which they constitute, then at such a failure time there should also be a jump in the stochastic structure of the lifetimes of the remaining components. For such dynamically-modelled systems, the stochastic characteristics of their jump times are studied. These properties of the jump times allow us to obtain the properties of the lifetime of the system. In particular, for a Markov dynamic model, specific expressions for the exact distribution functions of the jump times are obtained for a general coherent system, a parallel system, and a series-parallel system. We derive a new family of distribution functions which describes the distributions of the jump times for a dynamically-modelled system.     

The contemporary crisis and the social relations department at Harvard: A case study in hegemony and disintegration

The history of sociology is marked by periods of theoretical pluralism and hegemony. Their interplay has resulted in the slow and uneven development of the discipline. Today, however, bodies of theory and practice have become so diverse that many scholars worry that sociology is in a state of disintegration. The theoretical career of Talcott Parsons provides a microcosm in which to explore similar processes. Building on the success of The Structure of Social Action, Parsons led a movement that transformed Harvard's Department of Sociolgy into the Department of Social Relations. There he attempted a grander, but failed synthesis in Toward A General Theory of Action. His case provides a situation in which to explore features of disciplinary integration and fragmentation. The comparison stimulates one to fashion an informed sense of whether sociology is now facing its latest crisis or may be in the process of decomposition as a corpus of study. This research was supported by grants from the American Sociological Association's Fund for the Advancement of the Discipline and by Indiana University Northwest through a sabbatical leave.     

Population growth and the changing ecosystem in Mindanao

Mindanao is the second largest island in the Philippines. Once considered the greenest spot on earth, it has since been highly exploited. This paper discusses the changing ecosystem of the island as a result of rapid population growth since the early 1900s. Not much is known about Mindanao before 1900. From 1913, however, population grew on Mindanao as the American colonial government established agricultural colonies to open up the south for trade and development. Colonial settlement together with migration and natural population increase led to environmental resource degradation and the displacement of indigenous communities such as the Moros and Lumads. Legal and illegal logging and rampant kaingin agriculture have also stressed the environment. The opening of the Mindanao frontier, Philippine development, the Great Migration, incursion of the Mindanao upland, deforestation, the displacement of indigenous communities, and the possible maintenance and rehabilitation of the ecosystem are discussed.     

Rethinking assimilation theory for a new era of immigration

"We argue that assimilation theory has not lost its utility for the study of contemporary immigration to the United States. In making our case, we review critically the canonical account of assimilation provided by Milton Gordon and others; we refer to Shibutani and Kwan's theory of ethnic stratification to suggest some directions to take in reformulating assimilation theory. We also examine some of the arguments frequently made to distinguish between the earlier mass immigration of Europeans and the immigration of the contemporary era and find them to be inconclusive. Finally, we sift through some of the evidence about the socioeconomic and residential assimilation of recent immigrant groups. Though the record is clearly mixed, we find evidence consistent with the view that assimilation is taking place, albeit unevenly."     

"How much do you spend gambling?" ambiguities in survey questionnaire items

The validity of a survey's findings is dependent upon the clarity and lack of ambiguity contained in each individual item yet minimal attention has been directed to this issue in most prevalence studies. Researchers have shown a tendency to accept the uncritical assumption that respondents interpret seemingly simple and straightforward items such as 'how much do you spend gambling?' in a consistent manner. No attempt is made to confirm the uniformity of responses by clarifying the mathematical formulae used by respondents to derive their answers. The purpose of this paper was to examine the consistency shown by a sample of 181 medical undergraduate subjects in estimating the level of gambling expenditure in a series of five case vignettes describing various scenarios of wins and losses during a session of gambling. Results revealed a wide variation in calculated figures depending upon whether or not subjects interpreted the item to mean net expenditure or turnover. Only two thirds or less of subjects calculated the figure to be the difference between the initial amount risked and the residual at the conclusion of the session. It is suggested that more attention be paid in prevalence and clinical studies to providing subjects with clear instructions on how to calculate expenditure estimates.     

Long-term marriages: A critical review

Research guidelines are proposed for the study of long-term marriages based on a critical review of existing studies. Current problems in the collection and analysis of the data include the lack of agreement about the minimum length of a long-term relationship, the failure to make couple comparisons, or to follow samples longitudinally. In addition, the response rate is uniformly low and the variables studied are not consistent. Future research should gather data about couples, not just individuals, and should utilize standardized measures. It is important to begin to build a comprehensive and comparable data base of long-term marital relationships.     

Geographical mobility of manpower in the USSR

"The Soviet Union is experiencing a substantial reduction in the growth of its working-age population, accompanied by a shift in the distributional pattern of population growth, with the largest increases occurring in regions where geographical mobility is low. After describing the types and scales of manpower migration in the USSR, the [authors discuss] the means used to encourage workers to move to the sparsely populated developing regions and away from large cities. This is achieved primarily through incentives, with wage differentials decreasing in importance compared with incentives bearing on the quality of life; restrictive measures have a purely corrective function."     

An analysis of simple counting methods for ordering incomplete ordinal data

Measurement in the social sciences often involves an attempt to completely order a set of entities on the basis of an underlying attribute. However, limitations of the measurement process often prevent complete empirical determination of the desired ordering. Nevertheless, the ordinal data obtained from the measurement process can be used in attempting to recover or construct more of the underlying order than is provided by the data. Previous research (Fishburn and Gehrlein, 1974a) has shown that a simple one-stage construction method, referred to as the cardinal rule, is fairly effective in correctly identifying ordered pairs in the underlying linear order that are not identified by the measurement process. The present paper re-examines the cardinal rule from the perspective of construction methods based on simple counting measures derived from the data, and argues that it is the best one-stage method in this class when a natural monotonicity assumption holds for the measurement process. The paper then examines two-stage construction rules that are based on the cardinal rule and the simple counting measures. It is shown that one of the two-stage rules gives better overall results than does the cardinal rule by itself.