In the article the author is concerned with the part of demographic factors in the explanation of the distribution of earing income and their implications to the economic status of the old aged dependents. It is disclosed by the full exploitation of Sample Survey of Recipients of Health Insurance that such demographic factors as sex and age of the earners of wages and salaries contribute to the formation of the pattern of earning income by different scale of enterprises and diffrent sex of workers. It is also discovered from the statical analysis of the Survey that the economic status of the old aged deependents is substantially affected by the age effect of those who support the old aged.
We are discussing the problem of impression fromations of others in person perception applying the nonmetric multidimensional scaling techniques, especially comparing the Smallest Space Analysis (SSA) with the Minimum Dimension Analysis (MDA), using the data from rating of the impression formations of a person measured by the Semantic Differential Method. The usefulness of nonmetric multidimensional scaling methods for the psychological phenomena is examined under several considerations from various points of view.
Here proposed are complexity measures of finite sequences of symbols, based on finite automata. Basic properties of these measures are demonstrated. The relation between the complexity for generating a sequence and the randomness of the generated sequence is also discussed. First, the notion of A-complexity is defined and characterized using ultimately periodic sequences (Theorem 1). A refined measure, F-complexity, is then introduced. It is shown that highly random sequences have large F-complexities (Theorem 2), but the converse is not always true (Theorem 3). Finally, the c-complexity is proposed to remedy this shortcoming of F-complexity. It includes as special cases both A-complexity and F-complexity. It is shown that certain sequences with high c-complexities, complete periodic sequences, are equidistributed (Theorem 4).
Some aspect of plitical participation in Japan is the subject of this paper. Three methods are used to analyse categorical data : D-systems analysis, path analysis using coded “values”, and odds ratios with hierarchical modeling. The first two construct causal systems and pretend no interaction. The last one does not assume causal order or does not mind interactions at all. Women in Japan have disadvantage in socio-economic status, which increases the inherently negative attitude toward political interest. Therefore, political participation is lower on the part of women. The interrelationship among political interest, electoral activities, and party support is shown. That questions posed and answered are of multivariate nature implies the effectiveness of the methods.
Mathematical programming is a useful approach in solving the various problems in the statistical fields. In this paper, we will discuss the use of general nonlinear programming algorithms to the determination of the optimum stratification points and minimum variances in the case of estimating the population means for some typical distributions. Three sample allcoations are considered for the normal, exponential, equilateral triangular and rightangled triangular distributions. Efficiency of each sample allocation and gains of the number of strata are examined. Furthermore, relations between the optimum sample size and the number of strata are considered for some cost function. Results obtained here are applicable to the case of repetitive survey.