Probability Essentials

Filename: probability-essentials.pdf
ISBN: 9783642556821
Release Date: 2012-12-06
Number of pages: 254
Author: Jean Jacod
Publisher: Springer Science & Business Media

Download and read online Probability Essentials in PDF and EPUB This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.


Probability Essentials

Filename: probability-essentials.pdf
ISBN: 3540438718
Release Date: 2003
Number of pages: 254
Author: Jean Jacod
Publisher: Springer Science & Business Media

Download and read online Probability Essentials in PDF and EPUB This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference. The second edition contains some additions to the text and to the references and some parts are completely rewritten.


Probability Essentials

Filename: probability-essentials.pdf
ISBN: 3540438718
Release Date: 2003
Number of pages: 254
Author: Jean Jacod
Publisher: New World Library

Download and read online Probability Essentials in PDF and EPUB This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference. The second edition contains some additions to the text and to the references and some parts are completely rewritten.


Probability Essentials

Filename: probability-essentials.pdf
ISBN: 0738671371
Release Date:
Number of pages:
Author:
Publisher: Research & Education Assoc.

Download and read online Probability Essentials in PDF and EPUB


Probability Essentials

Filename: probability-essentials.pdf
ISBN: 0738671371
Release Date:
Number of pages:
Author:
Publisher: Research & Education Assoc.

Download and read online Probability Essentials in PDF and EPUB


Essentials of Probability Theory for Statisticians

Filename: essentials-of-probability-theory-for-statisticians.pdf
ISBN: 9781498704205
Release Date: 2016-03-23
Number of pages: 328
Author: Michael A. Proschan
Publisher: CRC Press

Download and read online Essentials of Probability Theory for Statisticians in PDF and EPUB Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.


The Essentials of Probability

Filename: the-essentials-of-probability.pdf
ISBN: 0534192300
Release Date: 1994
Number of pages: 269
Author: Richard Durrett
Publisher: Duxbury Resource Center

Download and read online The Essentials of Probability in PDF and EPUB This text offers a treatment of probability focused on problem solving. Each topic moves from the specific to the general, beginning with one or more examples to lead into the theoretical results. A large number of examples and carefully chosen exercises relate applications to everyday life.


Sampling Essentials

Filename: sampling-essentials.pdf
ISBN: 9781452238401
Release Date: 2011-04-25
Number of pages: 320
Author: Johnnie Daniel
Publisher: SAGE

Download and read online Sampling Essentials in PDF and EPUB Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.


Essentials of Stochastic Finance

Filename: essentials-of-stochastic-finance.pdf
ISBN: 9789812385192
Release Date: 1999
Number of pages: 852
Author: Albert N. Shiryaev
Publisher: World Scientific

Download and read online Essentials of Stochastic Finance in PDF and EPUB This important book provides information necessary for those dealing with stochastic calculus and pricing in the models of financial markets operating under uncertainty; introduces the reader to the main concepts, notions and results of stochastic financial mathematics; and develops applications of these results to various kinds of calculations required in financial engineering. It also answers the requests of teachers of financial mathematics and engineering by making a bias towards probabilistic and statistical ideas and the methods of stochastic calculus in the analysis of market risks.


Essentials of Stochastic Processes

Filename: essentials-of-stochastic-processes.pdf
ISBN: 9783319456140
Release Date: 2016-11-07
Number of pages: 275
Author: Richard Durrett
Publisher: Springer

Download and read online Essentials of Stochastic Processes in PDF and EPUB Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed until its usefulness can be applied in the treatment of mathematical finance.


Bayesian Essentials with R

Filename: bayesian-essentials-with-r.pdf
ISBN: 9781461486879
Release Date: 2013-10-28
Number of pages: 296
Author: Jean-Michel Marin
Publisher: Springer Science & Business Media

Download and read online Bayesian Essentials with R in PDF and EPUB This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.


Essentials of Technical Analysis for Financial Markets

Filename: essentials-of-technical-analysis-for-financial-markets.pdf
ISBN: 0470625562
Release Date: 2010-04-01
Number of pages: 240
Author: James Chen
Publisher: John Wiley & Sons

Download and read online Essentials of Technical Analysis for Financial Markets in PDF and EPUB Comprehensive, accessible guide to technical analysis and market trading strategies Essentials of Technical Analysis for Financial Markets is an all-encompassing handbook on navigating the financial markets successfully using technical analysis. Clearly written, easy-to-understand, and straightforward, this guide focuses on the key information needed by traders and investors to take on any financial market effectively. Easy-to-use, at-your-fingertips information on using technical analysis to trade all major financial markets Explains how to navigate the markets successfully, including the top techniques for entries, exits, and risk management Straightforward descriptions of proven technical trading methods and strategies Filled with technical analysis insights, charts, and examples With financial markets in "roller coaster" mode, technical analysis offers a unique advantage for managing risk and finding high-probability trading opportunities. Packed with insightful tips and guidance, Essentials of Technical Analysis for Financial Markets provides proven trading strategies from one of today's top technical strategists.


Probability with R

Filename: probability-with-r.pdf
ISBN: 9781118165959
Release Date: 2011-09-30
Number of pages: 416
Author: Jane Horgan
Publisher: John Wiley & Sons

Download and read online Probability with R in PDF and EPUB 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.


A First Look at Rigorous Probability Theory

Filename: a-first-look-at-rigorous-probability-theory.pdf
ISBN: 9789813105706
Release Date: 2000-04-20
Number of pages: 192
Author: Jeffrey S Rosenthal
Publisher: World Scientific Publishing Company

Download and read online A First Look at Rigorous Probability Theory in PDF and EPUB This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.


Essentials of Mathematical Statistics

Filename: essentials-of-mathematical-statistics.pdf
ISBN: 9781449685348
Release Date: 2013-02-19
Number of pages: 594
Author: Brian Albright
Publisher: Jones & Bartlett Publishers

Download and read online Essentials of Mathematical Statistics in PDF and EPUB This text combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.