三维平衡轮换的多水平抽样调查设计研究综述及应用

现行的多水平抽样调查使用的各种形式的轮换模式,在西方各国均得到了广泛应用,但也存在着一系列问题。鉴此,通过对各种形式轮换模式的归纳统一和理论化综述研究,最终归纳出三维平衡多水平轮换模式设计方法,即将多水平轮换模式设计与后续的抽样估计方法研究统一起来,不但能够削减各类轮换偏差的负面影响,还能准确度量轮换样本之间的相关关系,并在多水平调查下得出更加准确的连续性抽样数据。此套设计方法具有极大的推广价值。     

月度调查的一种平衡两层次样本轮换模式

采用两阶段抽样设计的月度调查需要实施两层次样本轮换．在实施两层次样本轮换时需要保证相邻两月及相邻两年的相同月份最终抽样单元的样本拼配率，本文在借鉴日本劳动力调查两层次样本轮换模式的基础上构造了一种新的平衡两层次样本轮换模式。     

轮换样本调查的轮换模式设计与估计方法

文章以我国城市住户调查的轮换模式设计为例,研究了轮换样本调查中的轮换模式设计与估计方法等问题.不完全单水平轮换模式是轮换样本调查中非常理想的一种轮换模式,既吸收了单水平轮换模式的优点,又充分体现了轮换样本调查的优势.文章所研究的这套轮换模式设计与估计方法不仅适合在我国城市住户抽样调查中使用,而且也可推广应用到我国政府统计部门开展的其他类型的连续性抽样调查中.     

三级单元调查六次时的一种三层次样本轮换方法

文章针对采用三阶段抽样设计的季度调查,构造了一种三级单元调查六次时的三层次样本轮换方法。该方法中,一级单元的样本轮换模式为24in,二级单元的样本轮换模式为12in,三级单元的样本轮换模式为6in。该方法保证了各级单元的样本拼配率不随轮换过程而改变,并使得相邻两年的相同季度时三级单元具有一定的样本拼配率。     

季度调查的另一种平衡三层次样本轮换模式

季度调查需要样本轮换，采用多阶段抽样设计的季度调查需要多层次样本轮换。针对采用三阶段抽样设计的季度调查，在此之前构造的一种平衡三层次样本轮换模式的基础上，构造了另外一种平衡的三层次样本轮换模式。该模式同样对任何一级单元的任何一次轮换各级抽样单元的样本拼配率保持不变。     

季度调查的一种两层次样本轮换方法

对于采用两阶段抽样设计的季度调查,构造了一种两层次样本轮换方法:一级单元的样本轮换模式为12in;二级单元的样本轮换模式为6in.从而保证了相邻两个季度之间二级单元的样本拼配率恒为5/6,还保证了相邻两年的相同季度之间二级单元的样本拼配率恒为1/3,更保证了一级单元的样本量在轮换过程中始终不变.由此可见,样本轮换方法可以应用于中国劳动力的调查中.     

月度调查的第四种平衡的三层次样本轮换模式

采用三阶段抽样设计的月度调查需要实施三个层次的样本轮换,平衡三层次样本轮换模式使得任意一级单元的任意一次轮换各级抽样单元的样本拼配率不变.文章构造了一种新的平衡三层次样本轮换模式.     

中国劳动力调查的另一种四层次样本轮换方法

针对中国劳动力调查在部分省级单位内采用的四阶段抽样设计,构造了一种四级单元连续调查五次时的四层次样本轮换方法。该方法中,一级单元采用样本轮换模式40 in,二级单元采用样本轮换模式20 in,三级单元采用样本轮换模式10 in,四级单元采用样本轮换模式5 in。该方法保证了各级单元的样本量在轮换过程中不发生变化,同时还保证了四级单元在相邻两个季度和相邻两年的相同季度时均具有一定的拼配样本。     

二级单元调查两次时的两层次样本轮换方法

文章对于采用两阶段抽样设计的季度调查,构造了一种两层次样本轮换方法。该方法中一级单元的样本轮换模式为4in,二级单元的样本轮换模式为2in。该方法既保证了相邻两个季度二级单元的样本拼配率恒为50%,又保证了一级单元的样本量在轮换过程中保持不变。     

中国劳动力调查样本轮换方法的新改进

中国劳动力调查采用的两层次样本轮换方法不能使得村级单元的样本量在轮换过程中保持恒定不变,因而需要改进。文章在笔者先前提出的改进方法的基础上,对劳动力调查样本轮换方法作了进一步改进。在新的改进方法中,村级单元的轮换模式为16in,小区的轮换模式为8in。     

基于平衡单水平轮换的连续性抽样估计方法研究

内容提要：针对现存的各种单水平轮换模式和估计方法,本文提出一套统一的平衡单水平轮换模式。在此轮换模式下,引入两类相关关系,运用线性无偏估计方法,并通过使不同类型估计量方差的加权总和最小的方法确定最优系数,从而得到最优线性无偏估计量,不仅能够减少甚至消除估计量偏差的影响,还能使得连续性调查的整体抽样误差最小,适合估计各种类型的估计量。     

我国规模以下工业连续性抽样调查方案设计研究

本文在分析我国规模以下工业抽样调查现状和存在问题的基础上,提出改革建议,对工业企业和个体工业户分别设计了连续性抽样调查方案,对工业企业采用三维平衡三水平轮换模式,对个体工业户采用二维平衡单水平轮换模式,两种调查方案都分别设计了两种轮换模式,以适应各个地区的实际情况。     

Investigating the role of orthogonal and non – orthogonal rotation in multivariate factor analysis,in regard to the repeatability of the extracted factors: A simulation study

ABSTRACT

Factor analysis (FA) is the most commonly used pattern recognition methodology in social and health research. A technique that may help to better retrieve true information from FA is the rotation of the information axes. The main goal is to test the reliability of the results derived through FA and to reveal the best rotation method under various scenarios. Based on the results of the simulations, it was observed that when applying non-orthogonal rotation, the results were more repeatable as compared to the orthogonal rotation, and, when no rotation was applied.     

Cumulative sum (cusum) control schemes

Cumulative Sum (CUSUM) quality control schemes are becoming widely used i n industry because they are powerful, versatile, and easy to use. They cumulate recent process data to quickly detect out-of-control situations. They also serve as a powerful diagnostic tool. There are now more than 10,000 CUSUM control schemes in use daily in Du Pont. This paper describes design and implementation procedures for CUSUM control schemes with emphasison properties that are recorded as counts. The paper will describe recent developments which make CUSUM procedures more useful and more powerful.

The recent developments described are: Fast Initial Response (FIR) CUSUM which gives extra sensitivity to out-of-control situations at start up or after a(possiblyin effective)control action.

A Combined She whart-CUSUM which combines the key features

of CUSUM schemes and She whart Schemes by adding She whart Control Limits to a CUSUM scheme.

ROBUST CUSUM schemes which are no tunduly influenced by a few outliers or fliers occurring in the stream of data.

The philosophy of continual improvement of aprocessisvery compatible with CUSUM procedures.As CUSUM procedures give much more responsive control,a CUSUM signal does notmean that the process is producing bad product.Rather it means that action should be taken sothat the process does not produce bad product.     

Lower bounds of various criteria in experimental designs

Criterion is essential for measuring the goodness of an experimental design. In this paper, lower bounds of various criteria in experimental designs will be reviewed according to methodology of their construction. The criteria include most well-known ones which are frequently used as benchmarks for orthogonal array, uniform design, supersaturated design and other types of designs. To derive the lower bounds of these criteria, five different approaches are explored. Some new results are given. Throughout the paper, some relationships among different types of lower bounds are also discussed.     

小微企业抽样调查的样本轮换

目前,小微企业抽样调查数据受到各级政府和社会各界的高度关注。针对小微企业单位新增、消亡变动频繁的特点,研究了总体单位及样本量变动的一般条件下的样本轮换理论,对样本轮换率和估计量进行了探讨,扩大了研究结果的适用范围,得到了简单随机抽样、分层抽样中样本轮换的有关结论,对估计量的抽样误差进行了有效控制,并进行了相关实证研究,最后提出了构造适合小微企业连续性抽样调查的样本轮换设计模式和方法。     

Characterization of certain incomplete block designs

It is shown that certain inequalities known for partially balanced incomplete block (PBIB) designs remain valid for general incomplete block designs. Some conditions for attaining their bounds are also given. Furthermore, the various types of PBIB designs are characterized by relating blocks of designs with association schemes. The approach here is based on the spectral expansion of NN' for the incidence matrix N of an incomplete block design.     

Bayesian Analysis of Different Hybrid and Progressive Life Tests

Type-I and Type-II censoring schemes are the widely used censoring schemes available for life testing experiments. A mixture of Type-I and Type-II censoring schemes is known as a hybrid censoring scheme. Different hybrid censoring schemes have been introduced in recent years. In the last few years, a progressive censoring scheme has also received considerable attention. In this article, we mainly consider the Bayesian inference of the unknown parameters of two-parameter exponential distribution under different hybrid and progressive censoring schemes. It is observed that in general the Bayes estimate and the associated credible interval of any function of the unknown parameters, cannot be obtained in explicit form. We propose to use the Monte Carlo sampling procedure to compute the Bayes estimate and also to construct the associated credible interval. Monte Carlo Simulation experiments have been performed to see the effectiveness of the proposed method in case of Type-I hybrid censored samples. The performances are quite satisfactory. One data analysis has been performed for illustrative purposes.     

On sampling with probability proportional to size

One of the vehicles for utilization of auxiliary information is to use a sampling scheme with inclusion probabilities proportional to given size measures, a πps scheme. The paper addresses the following πps problem: Exhibit a πps scheme with prescribed sample size, which leads to good estimation precision and has good variance estimation properties.Rosén (1997) presented a novel general class of sampling schemes, called order sampling schemes, which here are shown to provide interesting contributions to the πps problem. A notion ‘order sampling with fixed distribution shape’ (OSFS) is introduced, and employed to construct a general class of πps schemes, called OSFSπps schemes. A particular scheme, Pareto πps, is shown to be optimal among OSFSπps schemes, in the sense that it minimizes estimator variances. Comparisons are made of three OSFSπps schemes and three other πps schemes; Sunter πps and systematic πps with frame ordered at random respectively by the sizes. The main conclusion is as follows. Pareto πps is superior among πps schemes which admit objective assessment of sampling errors.