Электронная книга: John Kinney J. «Probability. An Introduction with Statistical Applications»

Probability. An Introduction with Statistical Applications

Praise for the First Edition«This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory.» – The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica® and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested inlearning how to accomplish effective decision making from data.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781118947098

электронная книга

Купить за 10810.32 руб и скачать на Litres

Другие книги схожей тематики:

АвторКнигаОписаниеГодЦенаТип книги
Kulkarni SanjeevAn Elementary Introduction to Statistical Learning TheoryA thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and… — John Wiley&Sons Limited, Подробнее...
9521.78электронная книга
Zhiyi ZhangStatistical Implications of Turing's FormulaFeatures a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, and other areas of modern data science Turing's… — John Wiley&Sons Limited, Подробнее...
9652.07электронная книга
Walter Piegorsch W.Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and‘big data’ increasingly take center stage in our modern, knowledge-driven… — John Wiley&Sons Limited, Подробнее...
8879.91электронная книга
John Shynk J.Probability, Random Variables, and Random Processes. Theory and Signal Processing ApplicationsProbability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in… — John Wiley&Sons Limited, Подробнее...
11316.87электронная книга
Robert Dobrow P.Introduction to Stochastic Processes with RAn introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an… — John Wiley&Sons Limited, Подробнее...
9652.07электронная книга
Roberto RiveraApplications of Regression Models in EpidemiologyA one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and… — John Wiley&Sons Limited, Подробнее...
10424.97электронная книга
Daniele Martini DeSuccess Probability Estimation with Applications to Clinical TrialsProvides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success… — John Wiley&Sons Limited, Подробнее...
7492.55электронная книга
Mohammad ArashiTheory of Ridge Regression Estimation with ApplicationsA guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a… — John Wiley&Sons Limited, Подробнее...
12175.39электронная книга
Noble Wilford JohnBayesian Networks. An IntroductionBayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer… — John Wiley&Sons Limited, Подробнее...
8581.31электронная книга
Paolo BrandimarteQuantitative Methods. An Introduction for Business ManagementAn accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals… — John Wiley&Sons Limited, Подробнее...
11316.87электронная книга
Svein Nyberg OlavThe Bayesian Way: Introductory Statistics for Economists and EngineersA comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way offers a basic… — John Wiley&Sons Limited (USD), Подробнее...
7479.54электронная книга
Oliver Ibe C.Elements of Random Walk and Diffusion ProcessesPresents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes… — John Wiley&Sons Limited, Подробнее...
7798.58электронная книга
Vijay Singh P.Entropy Theory and its Application in Environmental and Water EngineeringEntropy Theory and its Application in Environmental and Water Engineering responds to the need for a book that deals with basic concepts of entropy theory from a hydrologic and water engineering… — John Wiley&Sons Limited, Подробнее...
12873.92электронная книга
Igor Ushakov A.Probabilistic Reliability ModelsPractical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation… — John Wiley&Sons Limited, Подробнее...
8116.93электронная книга
Другие книги по запросу «Probability. An Introduction with Statistical Applications» >>

Look at other dictionaries:

  • probability and statistics — ▪ mathematics Introduction       the branches of mathematics concerned with the laws governing random events, including the collection, analysis, interpretation, and display of numerical data. Probability has its origin in the study of gambling… …   Universalium

  • Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …   Wikipedia

  • Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

  • probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium

  • Probability measure — In some cases, statistical physics uses probability measures, but not all measures it uses are probability measures.[1][2] In mathematics, a probability measure is a real valued function defined on a set …   Wikipedia

  • Copula (probability theory) — In probability theory and statistics, a copula can be used to describe the dependence between random variables. Copulas derive their name from linguistics. The cumulative distribution function of a random vector can be written in terms of… …   Wikipedia

  • Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

  • Law of total probability — In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. Contents 1 Statement 2 Applications 3 Other names 4 See …   Wikipedia

  • Frequency probability — Statistical probability redirects here. For the episode of Star Trek: Deep Space Nine, see Statistical Probabilities. John Venn Frequency probability is the interpretation of probability that defines an event s probability as the limit of its… …   Wikipedia

  • Quantum probability — was developed in the 1980s as a noncommutative analog of the Kolmogorovian stochastic processes theory. One of its aims is to clarify the probabilistic mathematical foundations of quantum theory and its statistical interpretation.Significant… …   Wikipedia

  • List of important publications in statistics — Probability Théorie analytique des probabilités :Author: Pierre Simon Laplace:Publication data: 1820 (3rd ed.):Online version: ?:Description: Attacks the roots of least squares and interpolation techniques, bringing back techniques from a century …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”

We are using cookies for the best presentation of our site. Continuing to use this site, you agree with this.