Probability basic concepts

Part 1 of ebook "Stochastic processes and calculus: An elementary introduction with applications" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Basic concepts from probability theory; Chapter 3 - Autoregressive moving average processes (ARMA); Chapter 4 - Spectra of stationary processes; Chapter 5 - Long memory and fractional integration; Chapter 6 - Processes with autoregressive conditional heteroskedasticity (ARCH);...

163p daonhiennhien 03-07-2024 1 1   Download

Cryptography is concerned with the conceptualization, definition, and construction of computing systems that address security concerns. The design of cryptographic systems must be based on firm foundations. This book presents a rigorous and systematic treatment of the foundational issues: defining cryptographic tasks and solving new cryptographic problems using existing tools. It focuses on the basic mathematical tools: computational difficulty (one-way functions), pseudorandomness, and zero-knowledge proofs.

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This book presents the basic concepts of probability in a simple, straightforward, easy-to-understand way. It does require, however, a knowledge of arithmetic (fractions, decimals, and percents) and a knowledge of basic algebra (formulas, exponents, order of operations, etc.). If you need a review of these concepts, you can consult another of my books in this series entitled Pre-Algebra Demystified.

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This book is an introductory textbook in probability and statistical inference. No prior knowledge of either probability or statistics is required, although prior exposure to an elementary precalculus course would prove beneficial in the sense that the student would not see the basic concepts discussed here for the first time. The material discussed in this book is enough for a one-year course in introductory probability and statistical inference. It consists of a total of 15 chapters.

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Part 1 of ebook "Mathematical methods for finance: Tools for asset and risk management" provides readers with contents including: chapter 1 - basic concepts, sets, functions, and variables; chapter 2 - differential calculus; chapter 3 - integral calculus; chapter 4 - matrix algebra; chapter 5 - probability basic concepts; chapter 6 - probability random variables and expectations;...

166p hanlinhchi 29-08-2023 4 3   Download

Ebook Mathematical statistics with applications: Part 1 presents the following content: Chapter 1: descriptive statistics, chapter 2: basic concepts from probability theory, chapter 3: additional topics in probability, chapter 4: sampling distributions, chapter 5: point estimation, chapter 6: interval estimation, chapter 7: hypothesis testing, chapter 8: linear regression models.

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Ebook Costing and quantitative techniques: Part 2 presents the following content: Chapter 10 cost data for short-run tactical decision making, chapter 11 cost control, chapter 12 cost ledger accounts, chapter 13 theory of index numbers, chapter 14 basic probability concepts, chapter 15 set theory, chapter 16 introduction to matrices, chapter 17 basic concepts of differentiation, chapter 18 basic linear programming, chapter 19 network analysis, chapter 20 replacement analysis, chapter 21 transportation model, chapter 22 computer assisted costing techniques.

352p haojiubujain01 06-06-2023 7 4   Download

Ebook Fundamentals of probability and statistics for engineers: Part 1 presents the following content: Chapter 1: introduction; chapter 2: basic probability concepts; chapter 3: random variables and probability distributions; chapter 4: expectations and moments; chapter 5: functions of random variables; chapter 6: some important discrete distributions; chapter 7: some important continuous distributions.

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Lecture Introduction to Machine learning and Data mining: Lesson 9.1. This lesson provides students with content about: probabilistic modeling; key concepts; application to classification and clustering; measurement uncertainty; basics of probability theory;... Please refer to the detailed content of the lecture!

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Lecture Making hard decisions with the decision tool suite (3e) - Chapter 7: Probability basics. After completing this section, you will understand the knowledge about the basics of probability theory. Since uncertainty is a typical aspect of problems, rigorous and accurate problem solving requires using probability theory (i.e., math and logic). Specifically, we want you to: understand probability concepts, use probability to model simple situations, interpret probability statements, manipulate and analyze models,...

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Lecture Basic Statistics - Chapter 7: The Distribution of Sample Means. After studying this section will help you understand: the distribution of sample means; the concepts of z-scores and probability to samples of more than one score; compute z-scores and find probabilities for sample means,...

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In this chapter, students will be able to understand: Experiments, outcomes and random variables; the probability distribution of a random variable; expected values involving a single random variable; using joint probability density functions; the expected value of a function of several random variables: covariance and correlation; the normal distribution.

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In this chapter, students will be able to understand: Experiments, outcomes and random variables; the probability distribution of a random variable; expected values involving a single random variable; using joint probability density functions; the expected value of a function of several random variables: covariance and correlation; the normal distribution.

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This article deals with the relationship between Fuzzy Logic and the concept of Probability Function from discrete or continuous random variables. At first, basic concepts and properties are shown, both of functions corresponding to Fuzzy Logic, and functions of Probability Distribution and Probability Density.

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(BQ) The document Business and economics in basic statistics (Ninth edition): Part 1 has contents: Describing data - Frequency tables, frequency distributions, and graphic presentation; a survey of probability concepts; discrete probability distributions; continuous probability distributions,... and other contents. Invite you to refer.

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(bq) part 1 book "basic business statistics - concepts and applications" has contents: introduction, organizing and visualizing data, basic probability, discrete probability distributions, the normal distribution and other continuous distributions,...and other contents.

444p bautroibinhyen23 02-04-2017 56 9   Download

(bq) part 1 book "basic statistics for business & economics" has contents: what is statistics, describing data - frequency distributions and graphic presentation; describing data - numerical measures; a survey of probability concepts; discrete probability distributions; continuous probability distributions; sampling methods and the central limit theorem.

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Chapter 5 - A survey of probability concepts. After studying this chapter you will be able to: Explain the terms experiment, event, and outcome; identify and apply the appropriate approach to assigning probabilities; calculate probabilities using the rules of addition; define the term joint probability; calculate probabilities using the rules of multiplication;...

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After studying this chapter you will be able to: Understand the concept of sampling, learn the steps in developing a sampling plan, understand the concepts of sampling error and nonsampling error, understand the differences between probability samples, and nonprobability samples, understand sampling implications of surveying over the Internet.

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Applied statistics for civil and environmental engineers has many contents: Preliminary Data Analysis, Basic Probability Concepts, Random Variables and Their Properties, Model Estimation and Testing, Methods of Regression and Multivariate Analysis, Frequency Analysis of Extreme Events, Simulation Techniques for Design, Risk and Reliability Analysis, Bayesian Decision Methods and Parameter Uncertainty.

737p doremon3244 05-06-2014 77 19   Download