Pitman Closeness of kth Records Based on a Two-Sequence Case

Suppose upper kth records were observed from an X-sequence of iid continuous random variables, and kth upper records from another independent Y-sequence of iid variables from the same distribution are to be observed. The Pitman closeness probabilities of these statistics are derived. For symmetric distribution, the Pitman closeness probabilities of kth record statistics to the population median, are also examined and it is shown that these probabilities are distribution free. Numerical computations are conducted to illustrate the results developed here.     

Comparison of Records and Maxima

We establish best upper bounds on the expected differences of records and sample maxima, and kth records and kth maxima based on sequences of independent random variables with identical continuous distribution and finite variance. The bounds are expressed in terms of the standard deviation units of the parent distribution. We also provide conditions for attaining the bounds.     

On the problem of the unique characterization of discrete distributions by single regression of weak records

We consider the problem of the unique identification of discrete probability distributions by the single regression function of non-adjacent discrete weak record values. We present a new approach to this problem and we show that the uniqueness of the characterization is equivalent to the uniqueness of solution to a corresponding difference equation or an appropriate system of difference equations. This result is applied to obtain known as well as new characterizations of discrete distributions.     

基于生存分析法的医疗电子病历系统采纳与扩散研究

医疗电子病历系统作为中国医疗信息化建设的核心,关注其采纳与扩散机理,对推进医疗卫生信息化建设,以及实现有意义地使用具有重要的理论和实践意义。基于云南省222家医院信息化建设的调研数据,运用半参数生存分析法即Cox回归模型探讨医院采纳电子病历系统的影响因素及扩散机理。研究表明,教学状态、医院规模和建院时间均为有利因素,即这三个因素积极促进医院采纳电子病历系统;时间×规模为不利因素,即它对医院采纳电子病历系统有负向影响;地理位置在分层和删减样本的模型分析中均表现为不利因素;医院等级影响并不明显。     

Upper and lower bounds on the variances of linear combinations of the kth records

We describe a method of determining upper bounds on the variances of linear combinations of the kth records values from i.i.d. sequences, expressed in terms of variances of parent distributions. We also present conditions for which the bounds are sharp, and those for which the respective lower ones are equal to zero. A special attention is paid to the case of the kth record spacings, i.e. the differences of consecutive kth record values.     

Linearity of regression for the past weak and ordinary records

In this paper we study the property of linearity of backward regression for non-adjacent records. In the case of weak records, a characterization of the geometric distribution is obtained. It also appears that a related characterization for ordinary records does not hold, showing the difference in conditional behaviour between weak and ordinary records.     

A weak convergence criterion for constructing changes of measure

Based on a weak convergence argument, we provide a necessary and sufficient condition that guarantees that a nonnegative local martingale is indeed a martingale. Typically, conditions of this sort are expressed in terms of integrability conditions (such as the well-known Novikov condition). The weak convergence approach that we propose allows to replace integrability conditions by a suitable tightness condition. We then provide several applications of this approach ranging from simplified proofs of classical results to characterizations of processes conditioned on first passage time events and changes of measures for jump processes.     

On simulation of weak records

In the present paper, we discuss algorithms of generation of weak records. These generation algorithms are based on two different methods. In the case, when the inverse function for the underlying distribution function can be obtained explicitly, the corresponding generation algorithms are built on the inverse-transform method. In the case, when the inverse function cannot be obtained explicitly, the algorithms are based on the rejection method. Generation algorithms of our paper are supplied with illustrative examples.     

Evolution of Athletic Records: Statistical Effects versus Real Improvements

Athletic records represent the best results in a given discipline, thus improving monotonically with time. As has already been shown, this should not be taken as an indication that the athletes' capabilities keep improving. In other words, a new record is not noteworthy just because it is a new record, instead it is necessary to assess by how much the record has improved. In this paper we derive formulae that can be used to show that athletic records continue to improve with time, even if athletic performance remains constant. We are considering two specific examples, the German championships and the world records in several athletic disciplines. The analysis shows that, for the latter, true improvements occur in 20-50% of the disciplines. The analysis is supplemented by an application of our record estimation approach to the prediction of the maximum body length of humans for a specified size of a population respectively population group from a representative sample.     

行政记录和政府统计的多视角研究

在社会经济统计中,行政记录的重要性日益被统计部门重视,其开发使用也成为学术研究热点。通过研究现有文献,本文系统综述了行政记录和政府统计之间的渊源、行政记录的优点、使用行政记录应注意的问题、行政记录在国内外政府统计中的使用实践和趋势以及使用行政记录改善政府统计的方向.     

Confidence and prediction intervals based on interpolated records

In several statistical problems, nonparametric confidence intervals for population quantiles can be constructed and their coverage probabilities can be computed exactly, but cannot in general be rendered equal to a pre-determined level. The same difficulty arises for coverage probabilities of nonparametric prediction intervals for future observations. One solution to this difficulty is to interpolate between intervals which have the closest coverage probability from above and below to the pre-determined level. In this paper, confidence intervals for population quantiles are constructed based on interpolated upper and lower records. Subsequently, prediction intervals are obtained for future upper records based on interpolated upper records. Additionally, we derive upper bounds for the coverage error of these confidence and prediction intervals. Finally, our results are applied to some real data sets. Also, a comparison via a simulation study is done with similar classical intervals obtained before.     

Scoring the Quality of E-Serials MARC Records Using Java

ABSTRACT

In 2015, the University of Illinois at Urbana–Champaign (UIUC) adopted a policy of cataloging electronic serials in the online catalog to represent the Library's large electronic journal holdings. Historically there had been no consistent policy of cataloging e-serials at UIUC, so this decision also required retroactive cataloging of the Library's existing holdings. In order to add the more than 100,000 titles to which the library has access, batch searching and bulk loading records are necessary. This can be particularly challenging with serials records, due to bibliographic changes (such as title and publisher) and record duplication in OCLC WorldCat. This column describes a Java program, written by the author, which aids in selecting high-quality records from batch searches to be bulk loaded into the catalog. The program scores the quality of Machine-Readable Cataloging Record (MARC) records based on data in a select number of fields and discards records that fail to meet minimum criteria, such as correct format or language of cataloging. The program ultimately ensures that certain base criteria are met, while creating more efficiency in the process of bulk loading e-serials records.     

调节匹配对社会资本与电子病历共享关系的影响研究

电子病历共享对于提高整个区域内的医疗水平有着重要意义,是学术界和管理界共同关注的问题。应用调节匹配理论,研究具有不同调节定向的医生对于社会资本因素和电子病历共享之间关系的差异。研究结果表明,无论是促进定向还是防御定向的医生,信任都很重要,但二者无显著差别。对于促进定向而言,形象、互惠和电子病历共享的关系较强;对于防御定向,失去知识的权威、主观规范和电子病历共享的关系较强。最后,根据研究结果,提出了管理建议和未来研究方向。     

An optimal k of kth MA-ARIMA models under MA(q) models

In this article, we discuss finding the optimal k of (i) kth simple moving average, (ii) kth weighted moving average, and (iii) kth exponential weighted moving average based on simulated MA(q) model. We run a simulation using the three above examining methods under specific conditions. The main finding is that, 5th Exponential Weighted Moving Average (5-th EWMA) Autoregressive Integrated Moving Average (ARIMA) model is the best forecasting model among others, which means the optimal k = 5. For Turkish Telecommunications (TTKOM), stock market real data reveals the similar results of the simulation study.     

On Bayesian sample size determination

Three Bayesian methods are considered for the determination of sample sizes for sampling from the Laplace distribution – the distribution of time between rare events – with a normal prior. These methods are applied to the sizing of aircraft mid-air collisions in a navigation system or large flight path deviations of aircraft in air traffic management scenarios. A computer program handles all computations and gives a good insight about the best suggested method.