Posted on Categories:Nonparametric Statistics, 统计代写, 统计代考, 非参数统计

## avatest™帮您通过考试

avatest™的各个学科专家已帮了学生顺利通过达上千场考试。我们保证您快速准时完成各时长和类型的考试，包括in class、take home、online、proctor。写手整理各样的资源来或按照您学校的资料教您，创造模拟试题，提供所有的问题例子，以保证您在真实考试中取得的通过率是85%以上。如果您有即将到来的每周、季考、期中或期末考试，我们都能帮助您！

•最快12小时交付

•200+ 英语母语导师

•70分以下全额退款

## 统计代写|非参数统计代写Nonparametric Statistics代考|The Markov Chain Approach

Some theory and concepts in the area of what is called a finite homogeneous MC have been applied to derive the run-length distribution and various characteristics of the run-length distribution of some time-weighted charts, such as the CUSUM and the EWMA. The reader can look up, for example, Fu and Lou (2003) and Balakrishnan and Koutras (2002) for a more detailed treatment of the topics; however, most existing SPC books don’t seem to treat this important topic. In this section, some of the basic terminologies, definitions, results, and theorems are provided that give the necessary background for calculating the run-length distribution of some control charts via the $\mathrm{MC}$ approach. These theorems and results are critical to the following chapters; illustrations are provided.

The $\mathrm{MC}$ approach entails that the charting statistic is viewed as following a MC (as a stochastic process), with a state space $S$ and a transition probability matrix $M$. The state space consists of two types of states:

1. one absorbing state (i.e., this state is entered when the chart signals, i.e., when the charting statistic is greater than or equal to the $U C L$, or less than or equal to the $L C L$ for a two-sided chart); and
2. $\nu$ transient or non-absorbing states, so that there are $\nu+1$ states in total.

The $(\nu+1) \times(\nu+1)$ transition probability matrix, $M$, is often written in a partitioned form
where the sub-matrix $Q_{\nu \times \nu}$ contains all the probabilities of going from one transient state to another and is called the essential transition probability matrix. The column vector $\underline{p}{\nu \times 1}$ contains all the probabilities of going from each transient state to the absorbing state; $\underline{0}{1 \times \nu}^{\prime}$ is a row vector of zeros, consisting of the probabilities of going from the absorbing state to each transient state (which are all zero), and the scalar value 1 is the probability of staying in the absorbing state once it has been entered. Note that the key component in using the MC approach is to obtain the essential transition probability matrix $Q_{\nu \times \nu}$.

## 统计代写|非参数统计代写Nonparametric Statistics代考|The Integral Equation Approach

The integral equation approach utilizes mathematics and combinatorics to find a closed form expression of the run-length distribution. This approach is sometimes challenging in that the expression obtained is typically complex or difficult to evaluate numerically. Often, the exact expression of the run-length distribution can be found after a considerable amount of work, but here a simulation is done instead, since it is much easier.

## 统计代写|非参数统计代写Nonparametric Statistics代考|The Markov Chain Approach

1. 一种吸收状态（即，当图表发出信号时，即当图表统计大于或等于在C大号，或小于或等于大号C大号对于双面图表）；和
2. n瞬态或非吸收状态，因此有n+1共州。

，其中子矩阵问n×n包含从一种瞬态到另一种瞬态的所有概率，称为基本转移概率矩阵。列向量p―n×1包含从每个瞬态到吸收状态的所有概率；0―1×n′是一个由零组成的行向量，由从吸收状态到每个瞬态（全为零）的概率组成，标量值 1 是进入吸收状态后保持在吸收状态的概率。请注意，使用 MC 方法的关键部分是获得基本转移概率矩阵问n×n.

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

Posted on Categories:Nonparametric Statistics, 统计代写, 统计代考, 非参数统计

## 统计代写|非参数统计代写Nonparametric Statistics代考|CSTAT6610 onstruction of Control Charts

avatest非参数统计Nonparametric Statistics代写，免费提交作业要求， 满意后付款，成绩80\%以下全额退款，安全省心无顾虑。专业硕 博写手团队，所有订单可靠准时，保证 100% 原创。avatest™， 最高质量的非参数统计Nonparametric Statistics作业代写，服务覆盖北美、欧洲、澳洲等 国家。 在代写价格方面，考虑到同学们的经济条件，在保障代写质量的前提下，我们为客户提供最合理的价格。 由于统计Statistics作业种类很多，同时其中的大部分作业在字数上都没有具体要求，因此非参数统计Nonparametric Statistics作业代写的价格不固定。通常在经济学专家查看完作业要求之后会给出报价。作业难度和截止日期对价格也有很大的影响。

avatest™ 为您的留学生涯保驾护航 在网课代考方面已经树立了自己的口碑, 保证靠谱, 高质且原创的网课代修服务。我们的专家在非参数统计Nonparametric Statistics代写方面经验极为丰富，各种非参数统计Nonparametric Statistics相关的作业也就用不着 说。

## 统计代写|非参数统计代写Nonparametric Statistics代考|Construction of Control Charts

The charting statistic has been mentioned previously, and statistical considerations such as unbiasedness, minimum variance, robustness, and efficiency are generally employed in the choice of this statistic. In order to monitor the central tendency or the location of a process, for example, the sample mean (X¯) or the sample median (X~) is often used. Alternatively, the sample range (R), the sample standard deviation (S), and the sample variance (S2) are used to monitor the process spread, standard deviation, or variance, respectively. Once a charting statistic is chosen, we use its probability distribution, along with some desired chart performance criteria, to be discussed soon, to set up the control limits. Many of the classical control charts have been developed under the assumption that the process distribution is normal. Sometimes, the charting statistic is an average or a statistic for which the central limit theorem can be used to invoke approximate normality without an explicit normality assumption about the process distribution. When normality or some other distributional assumption (such as exponentiality) is made about the process, the control chart is called parametric. When such a distributional assumption cannot be made or justified, alternative control charts are available, which are called nonparametric or distribution-free. Such charts are discussed in detail in Chapter 4.

## 统计代写|非参数统计代写Nonparametric Statistics代考|Variables and Attributes Control Charts

Variables are characteristics that we are interested in monitoring. In order for a variable to be monitored, it must be measurable. There are mainly two types of variables: quantitative and qualitative (categorical). Quantitative variables can be continuous or discrete. In SPC, the terminology variables data refers to measurements on quantitative continuous variables. Examples include data on variables such as length, width, temperature, weight, volume, etc., each of which is a continuous variable. Depending on the parameter, the charting statistic can be the sample mean (X¯), the sample median (X~), the sample range (R), the sample standard deviation (S), or the sample variance (S2). For a variables control chart, the charting statistic follows a continuous distribution.

Conversely, the terminology attributes data refers to recordings or measurements on quantitative discrete variables. Examples include the number of errors or mistakes made in completing a loan application, or the number of medical errors made in a hospital. For an attributes control chart, the charting statistic is discrete and follows a discrete distribution, for example, the charting statistic can be the fraction nonconforming (p), the number nonconforming (np), the number of nonconformities (c), or the average number of nonconformities per unit (c).

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。