### 数学代写|信息论作业代写information theory代考|BUSN4002

statistics-lab™ 为您的留学生涯保驾护航 在代写信息论information theory方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写信息论information theory代写方面经验极为丰富，各种代写信息论information theory相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 数学代写|信息论作业代写information theory代考|Uncertainty, Variety and Information

When the concept and phenomenon of information are used to establish the meaning and existence of uncertainty, information becomes the primary category of knowing while uncertainty becomes the derived category of knowing which gives rise to the concept and phenomenon of risk as information-derived. In this case, the distribution of universal varieties and the path of knowing correspond to the distribution of the characteristic-signal dispositions where information is claimed as an essential part of matter just as energy, and that any definitional structure of information must fulfill this universal role. In this conceptual system, information is also a property of energy through matter. Similarly, when the concept and phenomenon of uncertainty are used to define the existence of information, then uncertainty becomes the primary category of knowing while information becomes the derived category of knowing which gives rise to the conceptual system, where all things are defined and known. In this alternative view, the distribution of universal varieties and the path of knowing correspond to the distribution of uncertainties as conceived and defined.

A problem arises as to whether uncertainty is ontological or epistemological? If uncertainty is ontological, then it must be shown that it is an organic property of matter and energy at the level of static states of elements. In the epistemic frame that is being projected, uncertainty is epistemological and arises through cognitive limitations associated in informing, knowing, deciding and choosing of varieties. The concepts of information and uncertainty are composed of quality and quantity that are reflected in linguistic measures as linguistic variables for inter-categorial and intra-categorial comparisons and ordering of varieties where quantitative and qualitative dispositions exist in a relationally inseparable continuum and unity. The cognitive activities of distinguishing and categorizing varieties for inter-categorial and intra-categorial comparison and ordering require information at the static level. The development of the required theory for the nature and behavior of these static properties of categories belongs to the subject matter of info-statics. The general structure of the theory of info-statics has been presented in a companion monograph on definitional foundation of information [R17.17].

## 数学代写|信息论作业代写information theory代考|Uncertainty and Categories of Measures

In the general knowledge production regarding concepts and measurements, one can conceive of three measurement problems of exactness, inexactness and the combination of the two and the instrumentation that may be imposed. The demand of the development of theories of measurement is over the epistemological space where cognitive agents operate over the space of cognitive actions with epistemic limitations. The exact, inexact and exact-inexact measures are numerical and non-numerical in structure to deal with the comparability problems of inter-categorial and intra-categorial ranking of varieties in understanding and utilization. Since every elemental variety exists in quality-quantity duality, and hence in an exact-inexact duality, it is analytically useful to speak of measurements in terms of degrees of exactness which place them in a fuzzy space of reasoning. The relational structure of quantity quality and exactness – inexactness dualities under the principles of relational continuum and unity allows an epistemic examination of information and its communication in terms of volume and meaning within the source-destination duality, where every source has a destination support and vice versa. It is useful to work with an analytical principle that the volume and meaning of message from the source agent are information exact and complete even though it may contain deceptive components at some level of intentionality as have been explained in a monograph entitled the theory of Philosophical Consciencism [R17.16].

The message contains encoded information defined by characteristic-signal disposition which constitutes the primary category at the source. The characteristic disposition presents the contents which is carried by the signal disposition. The destination decodes the message into an interpreted message which becomes the derived category at the destination. The concepts of primary and derived categories of informing, knowing and learning in the decision-choice systemicity and complexity must be clearly understood if one is to understand the theories of info-statics and info-dynamics and how these theories relate to categorial existence of matter and energy. A newly defined conceptual space arises when the primary and derived categories are related to the measurement problem over the epistemological space.

## 有限元方法代写

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## 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。