载荷长度对蓝牙数据传输吞吐量的影响

蓝牙协议提供了多种不同长度的数据包类型,以提高在不同的信道条件下的数据传输性能。针对这一特性,该文建立了噪声环境下蓝牙数据传输系统的数学模型,分析了蓝牙高斯频移键控(GFSK)调制方式和2.0 EDR规范新增加的π/4-DQPSK与8DPSK调制方式,根据在加性高斯白噪声信道(AWGN)下的比特错误率(BER)与平均接收信噪比的关系,推导了ACL数据分组的重传概率与平均接收信噪比的函数表达式,进而分析了在不同的信噪比条件下载荷长度对蓝牙数据传输吞吐量的影响。仿真分析结果对如何提高蓝牙数据传输性能的研究提供了有益的参考。     

Length of inpatient stays and associated factors among middle‐aged and older adults in Korea

Using a nationally representative sample of middle‐aged and older adults in Korea, this study examined the length of inpatient stays and associated factors. The pooled 2008–2012 data were obtained from the Korean Longitudinal Study of Aging, and study sample consisted of 7,805 individuals aged 50 and older. Guided by the Andersen's healthcare utilization model, latent growth curve modeling was conducted. Study results indicate that the average inpatient stay has slightly increased among middle‐aged and older adults in Korea. Furthermore, the severity of functional disability, the number of chronic health conditions, and the level of depressive symptoms were found to be key factors associated with the length of inpatient stays. In particular, respondents who received federal welfare benefits had longer stays than those who did not receive welfare benefits. Being employed and having private insurance were also found to be predictors of increasing length of inpatient stays. However, marital status was not associated with the length of inpatient stays. By understanding the pattern of inpatient stays and associated factors, policymakers should make an effort to develop innovative cost‐effective healthcare programs.     

The double sampling S2 chart with estimated process variance

This paper proposes useful exact bounds for the parameters of the double sampling S² chart with known process variance and it also investigates the properties of the double sampling S² chart with estimated process variance, in terms of the average run length, the standard deviation of the run length and the average sample size, providing a numerical comparison with the known process variance case. It also provides guidelines to systematically design the double sampling S² chart both with known and estimated process variance and proposes two optimal design procedures with estimated process variance, for (a) minimizing the out-of-control average run length and (b) minimizing the out-of-control average sample size.     

On increasing the sensitivity of mixed EWMA–CUSUM control charts for location parameter

Control chart is an important statistical technique that is used to monitor the quality of a process. Shewhart control charts are used to detect larger disturbances in the process parameters, whereas cumulative sum (CUSUM) and exponential weighted moving average (EWMA) are meant for smaller and moderate changes. In this study, we enhanced mixed EWMA–CUSUM control charts with varying fast initial response (FIR) features and also with a runs rule of two out of three successive points that fall above the upper control limit. We investigate their run-length properties. The proposed control charting schemes are compared with the existing counterparts including classical CUSUM, classical EWMA, FIR CUSUM, FIR EWMA, mixed EWMA–CUSUM, 2/3 modified EWMA, and 2/3 CUSUM control charting schemes. A case study is presented for practical considerations using a real data set.     

A Note on Window Length Selection in Singular Spectrum Analysis

In singular spectrum analysis (SSA) window length is a critical tuning parameter that must be assigned by the practitioner. This paper provides a theoretical analysis of signal–noise separation and time series reconstruction in SSA that can serve as a guide to optimal window choice. We establish numerical bounds on the mean squared reconstruction error and present their almost sure limits under very general regularity conditions on the underlying data generating mechanism. We also provide asymptotic bounds for the mean squared separation error. Evidence obtained using simulation experiments and real data sets indicates that the theoretical properties are reflected in observed behaviour, even in relatively small samples, and the results indicate how, in practice, an optimal assignment for the window length can be made.     

Performance of the zone control chart

Average run lengths of the zone control chart are presented, The performance of this chart is compared with that of several Shewhart charts with and without runs rules, It is shown that the standard zone control chart has performance similar to some even simpler charts and a much higher false alarm rate than the Shewhart chart with all of the common runs rules. It is also shown that a slightly modified zone control chart outperforms the Shewhart chart with the common runs rules.     

Parametric bootstrap process capability index control charts for both mean and dispersion

Abstract

Non-normal processes are common in practice. In this paper, we propose a novel approach to defining bootstrap process capability index (PCI) control charts to monitor the performance of in-control skew normal processes. We use a bootstrap method to calculate phase I control limits of the corresponding PCI control charts. The β-risk curves of the associated PCI control charts will be used to assess the performance of the PCI control charts. We use Monte-Carlo simulation to evaluate the performance of the proposed PCI control charts. A numerical example to illustrate the implementation of the proposed control charts.     

Estimation in M/Er /1 queueing systems

In this paper, the maximum likelihood estimates of the parameters for the M/E_r /1 queueing model are derived when the queue size at each departure point is observed. A numerical example is generated by simulating a finite Markov chain to illustrate the methodology for estimating the parameters with variable Erlang service time distribution. The problem of hypothesis testing and simultaneous Confidence regions of the parameter is also investigated.0     

ATM接入网络中非对称性周期传输过程分析

利用嵌入Markov链和概率母函数，对ATM接入网络中离散时间情况下的非对称周期查询门限服务模型进行了数学解析。并进行了计算机模拟，模拟结果与理论分析吻合。     

On the Optimal Parameters for Reconstruction and Forecasting in Singular Spectrum Analysis

There are two main parameters in Singular Spectrum Analysis (SSA). The aim of this study is to determine whether the optimal values of these parameters are different for reconstruction and forecasting stages, and if those are worth the extra computational effort and time which they require. Here, we evaluate these issues using simulation study.