Data discretion

The Z transformation has many applications in Mathematics, especially in solving difference equations to help handle discrete data models. This article provides one more application of the Z transformation, which is the summation of a series.

6p viprimi 16-12-2024 1 1   Download

The main contents of the chapter consist of the following: Script m-file, editor/debugger window, cell mode, using built-in functions, using the HELP feature , window HELP screen, elementary math functions, rounding functions, discrete mathematics, trigonometric function, data analysis function.

21p nanhankhuoctai10 23-07-2020 15 2   Download

In this lecture we learned about: Sum and product functions, matrix size function, variance and standard deviation, random numbers, complex numbers, computational limitations, general mathematical functions, rounding functions, functions used in discrete mathematics, trigonometric functions.

21p nanhankhuoctai10 23-07-2020 14 2   Download

After studying this chapter you will be able to: Introduction to statistics, methods for describing data, probability, discrete probability distributions, the normal probability distribution, confidence interval, hypothesis testing.

96p koxih_kothogmih1 03-08-2020 22 2   Download

Bài giảng Khai phá dữ liệu (Data mining): Data preprocessing, chương này trình bày những nội dung về: why preprocess the data; descriptive data summarization; data cleaning; data integration and transformation; data reduction; discretization and concept hierarchy generation;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

71p diepkhinhchau 18-09-2023 12 5   Download

Structures of thesis: Chapter 1 - Preliminaries; Chapter 2 - Discrete data assimilation for the three-dimentional Leray-α model; Chapter 3 - Discrete data assimilation for the three-dimentional NavierStokes-α model; Chapter 4 - Abridged continuous data assimilation for the three-dimentional simplified Bardina model; Chapter 5 - Abridged data assimilation for the three-dimentional modified Leray-α.

26p tunelove 10-06-2021 21 3   Download

The object (for students) in this course is: To learn how to interpret statistical summaries appearing in journals, newspaper reports, internet, television, etc; to learn about the concepts of probability and probabilistic reasoning; to understand variability and analyze sampling distribution; to learn how to interpret and analyze data arising in your own work (course work or research).

6p koxih_kothogmih1 03-08-2020 27 2   Download

Lecture "Advanced Econometrics (Part II) - Chapter 3: Discrete choice analysis - Binary outcome models" presentation of content: Discrete choice model, basic types of discrete values, the probability models, estimation and inference in binary choice model, binary choice models for panel data.

18p nghe123 06-05-2016 66 6   Download

The lecture "Applied statistics for business" provides students with the knowledge: Introduction to the Course, Course Materials, requirements for Students, Main Contents. Invite you to refer to the disclosures.

8p doinhugiobay_13 26-01-2016 60 2   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Determining the Number of Discrete Alphabet Sources from Sensor Data

9p dauphong20 11-03-2012 37 3   Download

SMOOTH AND DISCRETE SYSTEMS—ALGEBRAIC, ANALYTIC, AND GEOMETRICAL REPRESENTATIONS ˇ FRANTISEK NEUMAN Received 12 January 2004 What is a differential equation? Certain objects may have different, sometimes equivalent representations. By using algebraic and geometrical methods as well as discrete relations, different representations of objects mainly given as analytic relations, differential equations can be considered.

10p sting12 10-03-2012 34 4   Download

This chapter describes the joint application of two soft computing methods – evolutionary algorithms and fuzzy reasoning – to the problem of adaptive distributed routing control in packet-switched communication networks. In this problem, a collection of geographically distributed routing nodes are required to adaptively route data packets so as to minimise mean network packet delay. Nodes reach routing decisions locally using state measurements which are delayed and necessarily only available at discrete sampling intervals. ...

14p tienvovan 11-09-2010 69 5   Download