试论统计学科体系的构造与完善

试论统计学科体系的构造与完善张宏性ＡＢＳＴＲＡＣＴＴｈｅｐａｐｅｒｄｉｓｃｕｓｅｓｔｈｅｂａｓｉｃｃｏｎｎｏｔａｔｉｏｎｓａｎｄｄｅｖｅｌｏｐｍｅｎｔｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｃｕｒｅｎｔｓｔａｔｉｓｔｉｃａｌｓｃｉｅｎｃｅｓ,ｔｈｅｐｒｉｎ...     

论统计指标的构造过程

论统计指标的构造过程苏为华ＡＢＳＴＲＡＣＴＴｈｅｃｏｎｓｔｒｕｃｔｉｏｎｏｆｓｔａｔｉｓｔｉｃａｌｉｎｄｉｃａｔｏｒｓｉｓａｐｒｏｃｅｓｓｏｆｃｏｍｐｌｉｃａｔｅｄｌｏｇｉｃｔｈｉｎｄ－ｉｎｇｔｈａｔｃａｎｂｅｄｉｖｉｄｅｄｉｎｔｏａｓｅｒｉｅｓｏｆ...     

我国农产品波动分析

我国农产品波动分析罗建国ＡＢＳＴＲＡＣＴＴｈｉｓｐａｐｅｒｓｙｓｔｅｍａｔｉｃａｌｙｓｔａｔｅｓｔｈｅｆｅａｔｕｒｅａｎｄｔｈｅｍｅｃｈａｎｉｓｍｏｆｆｌｕｃｔｕａｔｉｏｎｏｆｍａｉｎａｇｒｉｃｕｌｔｕｒａｌｐｒｏｄｕｃｔｓ,ｆｏｒｅｃａｓｔｓｉｔｓ...     

当代经济计量学中的协整理论

当代经济计量学中的协整理论赵文奇ＡＢＳＴＲＡＣＴＴｈｅｐａｐｅｒｍａｋｅｓｄｉｓｃｕｓｓｉｏｎｏｆｔｈｅｃｏｎｃｅｐｔｓ,ｃｈａｒａｃｔｅｒｓａｎｄｅｃｏｎｏｍｉｃｍｅａｎｉｎｇｓｏｆｔｈｅｃｏ－ｉｎｔｅｇｒａｔｉｏｎｔｈｅｏｒｙｉｎｍｏｄｅｒｎｅｃ...     

养老保险统筹费率的统计研究

养老保险统筹费率的统计研究林毓铭ＡＢＳＴＲＡＣＴＦｒｏｍｔｈｅｓｔａｎｄｐｏｉｎｔｓｏｆｓｔａｔｉｓｔｉｃｓ,ｔｈｅｐａｐｅｒｄｏｅｓｒｅｓｅａｒｃｈｏｎｔｈｅａｓｓｏｃｉａｔｅｄｉｎｄｉｃａｔｏｒｔｈａｔａｆｅｃｔｓｔｈｅｏｖｅｒａｌｃｏｓｔｒａｔ...     

国民经济核算中的保险——兼论保险的分配作用

国民经济核算中的保险——兼论保险的分配作用赵侯泉刘志荣ＡＢＳＴＲＡＣＴＡｃｃｏｕｎｔｉｎｇｉｓｓｕｅｓｉｎｉｎｓｕｒａｎｃｅｉｎｄｕｓｔｒｙｗｅｒｅｄｉｓｃｕｓｓｅｄ,ｉｎｃｌｕｄｉｎｇｉｎｓｕｒａｎｃｅｆｏｒｍ,ｉｎｓｕｒａｎｃｅａｃｃｏｕｎｔｉｎ...     

国有企业改革：扎牢篱笆打稳桩

国有企业改革：扎牢篱笆打稳桩李游群ＡＢＳＴＲＡＣＴＩｔ＇ｓｍｏｒｅｄｉｆｃｕｌｔｔｏｒｕｎＳｔａｔｅ－ｏｗｎｅｄｅｎｔｅｒｐｒｉｓｅｓｗｈｉｃｈｅｓｔａｂｌｉｓｈｅｄａｃｃｏｒｄｉｎｇｔｏｓｐｅｃｉａｌｉｄｅａｂｅｃａｕｓｅｏｆｉｔｓｅｌｆ＇ｓｄｅｆ...     

对资金流量表的改进

对资金流量表的改进孙静娟ＡＢＳＴＲＡＣＴＢａｓｅｄｏｎｔｈｅｓｙｓｔｅｍａｔｉｃｄｉｓｃｕｓｓｉｏｎｏｎｔｈｅｃｏｍｐｌｉｃａｔｅｄａｎｄｏｒｄｅｒｅｄｑｕａｎｔａｔｉｖｅｒｅｌａｔｉｏｎｓｉｎｔｈｅｉｎｃｏｍｅｄｉｓｔｒｉｂｕｔｉｏｎａｎｄｕｔｉｌ...     

突变统计学刍议

突变统计学刍议彭国富史造月谢英欣ＡＢＳＴＲＡＣＴＩｔｉｓｏｆｖｅｒｙｉｍｐｏｒｔａｎｔｓｉｇｎｉｆｉｃａｎｃｅｔｏｓｅｔｕｐＭｕｔａｉｏｎＳｔａｔｉｓｔｉｃｓｆｏｒｗｉｄｅｎｉｎｇｔｈｅｒｅｓｅａｒｃｈａｒｅａｓｏｆＳｔａｔｉｓｔｉｃｓ，ｅｎｒｉｃｈ...     

建立全国房地产开发业发展综合指数的初步研究

建立全国房地产开发业发展综合指数的初步研究贾海ＡＢＳＴＲＡＣＴＴｈｅａｕｔｈｏｒｔｒｉｅｓｔｏｃｏｎｓｔｒｕｃｔａｓｅｔｏｆｃｏｍｐｏｓｉｔｅｉｎｄｅｘｏｆｒｅａｌｅｓｔａｔｅｄｅｖｅｌｏｐｍｅｎｔｗｉｔｈＣｈｉｎｅｓｅｃｈａｒａｃｔｅｒｉｓｔｉｃｓ...     

统计调查中的缺失数据及补救

Carrying out an additional investigation to non-response units is an important means to solve omission data problems in statistics investigation. Usually there exist two basic forms: one is repeating inquiries, the other is doing second sampling. However, even additional investigation is employed, non-response problems are unavoidable. Therefore, the adjustment of data is often needed. The paper mainly discusses the problems mentioned above.     

Geometric approaches to design of experiment

Lagrangian duality theory is used to relate problems of D-optimal design of experiments to covering problems involving ellipsoids and ellipsoidal cylinders. The possibility of generalisation of the results to other optimality criteria is discussed. The covering ellipsoids find application in some robust estimation activities and there are links with the operational research problems of optimal location of facilities. The possibility of exact computation of the covering ellipsoids is investigated.     

Extension of the pool-adjacent-violators algorithm

The pool-adjacent-violators algorithm (PAVA) is an efficient algorithm which converges in a finite number of steps. However, it has been applicable so far only in isotonic regression with the simple order. This report extends its applicability to other quadratic programming problems, including certain one-sided multivariate testing problems and concave regression problems.     

Conceptual and Statistical Problems in Identifying Thresholds of Effect for Materials Damage and Soiling

The Clean Air Act of 1970 anticipates the existence of nonzero threshold concentrations of pollutants below which no consequential materials damage or soiling results from exposure to pollution. Determination of quantitative values for such thresholds on the basis of available empirical evidence involves substantial practical problems, including conceptual problems relating to measurement and attribution of effects and statistical problems relating to data analysis and interpretation. It is essential to maintain a broad, yet focused perspective that systematically accounts for such problems when synthesizing and interpreting empirical evidence reported in different studies of the same hypothesized effect.     

An averaging approach to prediction

The problem of predicting a future observation based on an observed sample is discussed. As a device for eliminating the parameter from the conditional distribution of a future observation given the observed sample, we suggest averaging with respect to an exact or approximate confidence distribution function. It is shown that in many standard problems where an exact answer is available by other methods, the averaging method reproduces that exact answer. When the exact answer is not easily available, the averaging method gives a simple and systematic approach to the problems. Applications to life data from exponential distribution and regression problems are examined.     

On Wrapped Version of Some Life Testing Models

ABSTRACT

In this paper we primarily consider waiting time problems under three different sampling rules. SR₁ is the usual sampling with replacement, SR₂ is without replacement, and SR₃ is also with replacement, but uses no repetitions. We develop a new methodology for solving a wide variety of waiting time problems under each of the three sampling rules. A connection between waiting time problems under SR₂ and SR₃ is established which enables one to simultaneously solve waiting time problems under both of these sampling rules. The methods are illustrated with a large number of examples.     

Confidence sets as programming problems

Optimizing criteria for choosing a confidence set for a parameter are formulated as mathematical programming problems. The two optimizing criteria, probability of coverage and size of set, give rise to a pair of inverse programming problems. Several examples are worked out. The programming problems are then formulated to allow the incorporation of partial information about the parameter. By varying the family of prior distributions, a continuum of problems from the frequency approach to a Bayesian approach is obtained. Some examples are considered in which the family of priors contains more than one but not all prior distributions.     

A general lower bound of minimax risk for absolute-error loss

A general lower bound of minimax risk for absolute-error loss is given in terms of the Hellinger modulus of the estimation problem. The main results are applicable to various parametric, semi-parametric and nonparametric problems. Two examples of parametric estimation problems and two examples of density estimation problems are given. In all of these examples, the general lower bound achieves the convergence rates of minimax risk.     

Stochastic approximation results for variational inequality problem using random-type iterative schemes

Real world problems are embedded with uncertainties. Therefore, to tackle these problems, one must consider probabilistic nature of the problems both in modeling and solution. In this work, concepts of convergence of the solution of variational inequality in classical functional analysis are extended to a stochastic domain for a random Mann-type iterative and Ishikawa-type iterative schemes in a Banach space. A mean square convergence result is proved for this extension.