Tag: Probability

Free Download The Measurement of Subjective Probability
English | 2024 | ISBN: 1009486969 | 90 Pages | PDF (True) | 1 MB
Beliefs come in degrees, and we often represent those degrees with numbers. We might say, for example, that we are 90% confident in the truth of some scientific hypothesis, or only 30% confident in the success of some risky endeavour. But what do these numbers mean? What, in other words, is the underlying psychological reality to which the numbers correspond? And what constitutes a meaningful difference between numerically distinct representations of belief? In this Element, we discuss the main approaches to the measurement of belief. These fall into two broad categories-epistemic and decision-theoretic-with divergent foundations in the theory of measurement. Epistemic approaches explain the measurement of belief by appeal to relations between belief states themselves, whereas decision-theoretic approaches appeal to relations between beliefs and desires in the production of choice and preferences.

Free Download Probability and Statistics for STEM: A Course in One Semester
English | 2024 | ISBN: 3031389840 | 306 Pages | PDF EPUB (True) | 25 MB
This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts.

Free Download Probability and Statistics for Business Success: A Data Science Approach: Practical applications of probability and statistics in real-world scenarios
by R. Parvin
English | March 31, 2024 | ASIN: B0CXGKK1JS | 301 pages | PDF | 83 Mb

Free Download Introduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Control
English | 2024 | ISBN: 9819993628 | 637 Pages | PDF EPUB (True) | 70 MB
This revised book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments, and statistical quality control. It is shaped by the experience of the two teachers teaching statistical methods and concepts to engineering students. Practical examples and end-of-chapter exercises are the highlights of the text, as they are purposely selected from different fields. Statistical principles discussed in the book have a great relevance in several disciplines like economics, commerce, engineering, medicine, health care, agriculture, biochemistry, and textiles to mention a few.

Free Download Random Variables and probability distributions
Published 1/2024
Created by Hemakumar Kasala
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7 Lectures ( 2h 12m ) | Size: 777 MB

Free Download Marcel Link, Brian Wiggins (Narrator), "The High Probability Options Trader: Winning Strategies to Take You to the Next Level"
English | ASIN: B0CR1WHN54 | 2024 | MP3@64 kbps | ~10:03:00 | 285 MB
The complete guide to building the mindset, knowledge, and skills of a professional options trader.
Professional options trader Marcel Link argues that the most successful traders are the ones who treat trading like a business. It’s how he turned trading into a full-time job, and he shares all his secrets with you. In The High Probability Options Trader, Link explains how to take advantage of online tools, offers a thorough but easy-to-understand explanation of option Greeks, and provides many effective strategies, including selling options and spreads with high volatility, making time decay work in your favor, using different time spreads, staying delta neutral, and using butterflies and condors. He explains how to trade during earnings, how to use technical analyses to time trades, and how to manage risk. Specific topics include: learning to understand and take full advantage of a broker’s platform; what options are and how they’re best used; methods for valuing options; choosing underlying stocks, indexes, ETFs, and futures to trade; using options to protect your portfolio from market turns; managing your options portfolio; reading marketing conditions to make the right investing decisions; placing orders and timing trades; and developing and implanting risk-management strategies.

Free Download An Introduction to Probability with Mathematica (390 Pages)
by Edward P. C. Kao
English | 2022 | ISBN: 9811245436 | 391 pages | True PDF | 35.29 MB

Free Download Miller & Freund’s Probability and Statistics for Engineers (9th Edition) by Richard A. Johnson, Irwin Miller, John E Freund
English | 2016 | ISBN: 0321986245 | 552 Pages | PDF | 2.8 MB
Miller & Freund’s Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author’s own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become real-world engineers and scientists.

Free Download Progress in Mathematics: Probability Theory, Mathematical Statistics, and Theoretical Cybernetics by R. V. Gamkrelidze
English | PDF | 1971 | 131 Pages | ISBN : 1468433113 | 11.5 MB
This volume contains two review articles: "Stochastic Pro gramming" by Vo V. Kolbin, and "Application of Queueing-Theoretic Methods in Operations Research, " by N. Po Buslenko and A. P. Cherenkovo The first article covers almost all aspects of stochastic programming. Many of the results presented in it have not pre viously been surveyed in the Soviet literature and are of interest to both mathematicians and economists. The second article com prises an exhaustive treatise on the present state of the art of the statistical methods of queueing theory and the statistical modeling of queueing systems as applied to the analysis of complex systems. Contents STOCHASTIC PROGRAMMING V. V. Kolbin Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 § 1. The Geometry of Stochastic Linear Programming Problems. . . . . . . . . . . . . . . . . . . . 5 § 2. Chance-Constrained Problems . . . . . . . . . 8 § 3. Rigorous Statement of stochastic Linear Programming Problems . . . . . . . . . . 16 § 4. Game-Theoretic Statement of Stochastic Linear Programming Problems. . . . . . . . 18 § 5. Nonrigorous Statement of SLP Problems . . . 19 § 6. Existence of Domains of Stability of the Solutions of SLP Problems . . . . . . . . . 29 § 7. Stability of a Solution in the Mean. . . . . . . . . . . . 30 § 8. Dual Stochastic Linear Programming Problems. . . 37 § 9. Some Algorithms for the Solution of Stochastic Linear Programming Problems . . . . . . . . . . 40 § 10. Stochastic Nonlinear Programming: Some First Results . . . . . . . . . . . . . . . . . . . . . . 42 § 11. The Two-Stage SNLP Problem. . . . . . . . . . . . 47 § 12. Optimality and Existence of a Plan in Stochastic Nonlinear Programming Problems. 58 Literature Cited . . . . . . . . . . . . . . . . . . . . . . . . . .

Free Download Probability: An Introduction Through Theory and Exercises
English | 2023 | ISBN: 3031384911 | 395 Pages | PDF | 7 MB
The book begins with a review of the fundamentals of measure theory and integration. Probability measures, random variables, and their laws are introduced next, along with the main analytic tools for their investigation, accompanied by some applications to statistics. Questions of convergence lead to classical results such as the law of large numbers and the central limit theorem with their applications also to statistical analysis and more. Conditioning is the next main topic, followed by a thorough introduction to discrete time martingales. Some attention is given to computer simulation. Through the text, over 150 exercises with full solutions not only reinforce the concepts presented, but also provide students with opportunities to develop their problem-solving skills, and make this textbook suitable for guided self-study.