Найти книгу: "Probability with R"


Probability with R Probability with R

Автор: Группа авторов

Год издания: 0000

A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts: The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data. Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability. Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes. Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control. Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice.
High-Probability Trade Setups. A Chartist's Guide to Real-Time Trading High-Probability Trade Setups. A Chartist's Guide to Real-Time Trading

Автор: Timothy Knight

Год издания: 

A comprehensive volume of today's most profitable trade set-ups A key element of trading is identifying situations in the financial markets that can produce a profitable trade. Fundamental analysts search for situations where a stock is undervalued or if a stock's prospective earnings growth is underestimated by a majority of investors. Technical analysts look at patterns in the market that historically indicate the direction of the markets next move. High Probability Trade Set-Ups catalogs the best trading situations from a variety of technical approaches. Engaging and informative, High Probability Trade Set-Ups provides a detailed explanation of twenty powerful, recurring tradable situations in the financial markets. Each pattern is thoroughly described, including its strengths and drawbacks, ease of identification, and the degree to which it produces profitable trades. Most importantly, the author provides entry and exit points for each set up. Examples of the set-ups include chart patterns such as ascending triangles, diamonds, gaps, pennants, and channels. Features many new technical tools for tracking individual stocks Contains a resource guide, which will help to monitor the market for the trade set-ups discussed throughout the book Reveals how to use ProphetCharts to perform advanced intermarket technical studies and identify the best opportunities Written in a straightforward and accessible style, High Probability Trade Set-Ups covers a lot of ground with respect to this approach and shows you how to use it to make the most of your time in today's dynamic markets.

Mastering the Stock Market. High Probability Market Timing and Stock Selection Tools Mastering the Stock Market. High Probability Market Timing and Stock Selection Tools

Автор: John Person L.

Год издания: 

Noted technical analyst John Person outlines a comprehensive method to pinpointing today's best trading opportunities The economy and stock market are heavily influenced by seasonal factors. For example, a strong holiday buying season tends to be bullish for retail stocks or rising energy costs hurt airline profitability. Awareness of seasonal trends in both the economy and stock market can put you in a better position to profit from sectors and stocks that are likely to outperform the overall market. And technical tools can then be used to confirm emerging trends and time entries into these stocks and sectors. Mastering the Stock Market provides authoritative insights into a method for trading stocks based on seasonal trends, sector analysis, and market timing. Taking a top-down approach, the book explains how seasonal supply/demand forces impact commodities and different sectors of the stock market. After learning how to identify stock market sectors and commodity ETFs that are ripe for a big move, you'll quickly discover how to use technical analysis to gauge the strength of the sector or commodity and then identify the strongest stocks and ETFs to trade. Along the way, you'll also learn how to use the author's own indicators, Persons Pivots, to identify support/resistance areas and pinpoint optimal entry and exit points. Outlines a proven technical approach for trading stocks based on seasonal trends, sector analysis, and market timing Breaks new ground in comparative relative strength, trading volume, breadth indicators, and utilizing pivot analysis in conjunction with options expiration days to identify trading opportunities Written by noted technical analyst John L. Person To successfully trade today's markets you need to use a proven approach and have the discipline to effectively implement it. Mastering the Stock Market has what you need to achieve these goals and capture consistent profits along the way.

Naked Forex. High-Probability Techniques for Trading Without Indicators Naked Forex. High-Probability Techniques for Trading Without Indicators

Автор: Alex Nekritin

Год издания: 

A streamlined and highly effective approach to trading without indicators Most forex traders rely on technical analysis books written for stock, futures, and option traders. However, long before computers and calculators, traders were trading naked. Naked trading is the simplest (and oldest) trading method. It's simply trading without technical indicators, and that is exactly what this book is about. Traders who use standard technical indicators focus on the indicators. Traders using naked trading techniques focus on the price chart. Naked trading is a simple and superior way to trade and is suited to those traders looking to quickly achieve expertise with a trading method. Offers a simpler way for traders to make effective decisions using the price chart Based on coauthor Walter Peters method of trading and managing money almost exclusively without indicators Coauthor Alexander Nekritin is the CEO and President of TradersChoiceFX, one of the largest Forex introducing brokers in the world Naked Forex teaches traders how to profit the simple naked way!

Advanced Charting Techniques for High Probability Trading. The Most Accurate And Predictive Charting Method Ever Created Advanced Charting Techniques for High Probability Trading. The Most Accurate And Predictive Charting Method Ever Created

Автор: Aaron Zalewski R.

Год издания: 

An all-star team of trading experts describe an array of proven charting techniques to bolster any portfolio *Purchase includes a 30-day free trial of Advanced Charting Platinum Selections software and generate returns of up to 3 percent per day.* There are over 175 recognized technical indicators that have been developed by traders, mathematicians and chartists to help traders make more accurate predictions about the price movements of individual securities, asset classes and the market as a whole. These technical indicators are never used alone but applied in various combinations. Developed and tested over many years by the authors, the highly reliable strategies described in this book combine a variety of charting techniques, which, when used in conjunction, have been shown to yield extremely accurate predictions about a stock's movements through the four cyclical phases of Birth, Momentum, Exhaustion and Death. You get powerful strategies, using a range of technical indicators, guaranteed to significantly improve your ability to more accurately—and profitably—time buy, hold and sell decisions The material in this book is currently required reading for the authors' prestigious Compound Stock Earnings (CSE) charting course Includes a special link to the main CSE website where you'll find a treasure trove of additional content, updates, and instructional videos and podcasts Provides valuable insights and information about the Covered Call approach to trading, a style about which Joseph R. Hooper is an internationally recognized expert

Probability and Statistics for Finance Probability and Statistics for Finance

Автор: Markus Hoechstoetter

Год издания: 

A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. • Outlines an array of topics in probability and statistics and how to apply them in the world of finance • Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis • Offers real-world illustrations of the issues addressed throughout the text The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.