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Probability and Statistics

Probability and Statistics Book
Author : Dr. J. S. Chitode
Publisher : Technical Publications
Release : 2021-01-01
ISBN : 9333223924
Language : En, Es, Fr & De

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Book Description :

First chapter deals with probability and random variable discussion. CDF, PDF and two dimensional random variables are discussed. Second chapter presents various useful probability distribution models. It also presents useful statistical averages such as mean, moments, variance, etc. Third chapter presents basic statistics concepts. Mean, median, mode, moments, variance, Kurtosis, skewness are discussed. Correlation, regression, Chebyshev inequality are also presented. Fourth chapter discusses formation of hypothesis, tests of significance and chi-square distribution. Last chapter presents curve fitting using straight line and second degree parabola.

Probability and Statistics

Probability and Statistics Book
Author : Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham & Dr M.V.S.S.N. Prasad
Publisher : S. Chand Publishing
Release : 2022-08-16
ISBN : 9352838270
Language : En, Es, Fr & De

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Book Description :

This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the benefit of the students

PROBABILITY AND STATISTICS FOR ENGINEERS

PROBABILITY AND STATISTICS FOR ENGINEERS Book
Author : Dr. J. Ravichandran
Publisher : Unknown
Release : 2010-06-01
ISBN : 9788126523504
Language : En, Es, Fr & De

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Book Description :

Special Features: · Discusses all important topics in 15 well-organized chapters.· Highlights a set of learning goals in the beginning of all chapters.· Substantiate all theories with solved examples to understand the topics.· Provides vast collections of problems and MCQs based on exam papers.· Lists all important formulas and definitions in tables in chapter summaries.· Explains Process Capability and Six Sigma metrics coupled with Statistical Quality Control in a full dedicated chapter.· Presents all important statistical tables in 7 appendixes. · Includes excellent pedagogy:- 177 figures- 69 tables- 210 solved examples - 248 problem with answers- 164 MCQs with answers About The Book: Probability and Statistics for Engineers is written for undergraduate students of engineering and physical sciences. Besides the students of B.E. and B.Tech., those pursuing MCA and MCS can also find the book useful. The book is equally useful to six sigma practitioners in industries.A comprehensive yet concise, the text is well-organized in 15 chapters that can be covered in a one-semester course in probability and statistics. Designed to meet the requirement of engineering students, the text covers all important topics, emphasizing basic engineering and science applications. Assuming the knowledge of elementary calculus, all solved examples are real-time, well-chosen, self-explanatory and graphically illustrated that help students understand the concepts of each topic. Exercise problems and MCQs are given with answers. This will help students well prepare for their exams.

Modern Mathematics Education for Engineering Curricula in Europe

Modern Mathematics Education for Engineering Curricula in Europe Book
Author : Seppo Pohjolainen,Tuomas Myllykoski,Christian Mercat,Sergey Sosnovsky
Publisher : Springer
Release : 2018-07-16
ISBN : 3319714163
Language : En, Es, Fr & De

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Book Description :

This book is open access under a CC BY License. It provides a comprehensive overview of the core subjects comprising mathematical curricula for engineering studies in five European countries and identifies differences between two strong traditions of teaching mathematics to engineers. The collective work of experts from a dozen universities critically examines various aspects of higher mathematical education. The two EU Tempus-IV projects – MetaMath and MathGeAr – investigate the current methodologies of mathematics education for technical and engineering disciplines. The projects aim to improve the existing mathematics curricula in Russian, Georgian and Armenian universities by introducing modern technology-enhanced learning (TEL) methods and tools, as well as by shifting the focus of engineering mathematics education from a purely theoretical tradition to a more applied paradigm. MetaMath and MathGeAr have brought together mathematics educators, TEL specialists and experts in education quality assurance form 21 organizations across six countries. The results of a comprehensive comparative analysis of the entire spectrum of mathematics courses in the EU, Russia, Georgia and Armenia has been conducted, have allowed the consortium to pinpoint and introduce several modifications to their curricula while preserving the generally strong state of university mathematics education in these countriesThe book presents the methodology, procedure and results of this analysis. This book is a valuable resource for teachers, especially those teaching mathematics, and curriculum planners for engineers, as well as for a general audience interested in scientific and technical higher education.

Statistics for Textile Engineers

Statistics for Textile Engineers Book
Author : J. R. Nagla
Publisher : CRC Press
Release : 2015-05-05
ISBN : 9380308523
Language : En, Es, Fr & De

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Book Description :

The book discusses various statistical methods and techniques which are useful for the study and analysis of textile data.

A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition Book
Author : Luc Devroye,Laszlo Györfi,Gabor Lugosi
Publisher : Springer Science & Business Media
Release : 2013-11-27
ISBN : 1461207118
Language : En, Es, Fr & De

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Book Description :

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

Basic Probability Theory

Basic Probability Theory Book
Author : Robert B. Ash
Publisher : Courier Corporation
Release : 2008-06-26
ISBN : 0486466280
Language : En, Es, Fr & De

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Book Description :

This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, its sole prerequisite is calculus. Taking statistics as its major field of application, the text opens with a review of basic concepts, advancing to surveys of random variables, the properties of expectation, conditional probability and expectation, and characteristic functions. Subsequent topics include infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book.

Mathematics II Calculus Ordinary Differential Equations and Complex Variable

Mathematics II  Calculus  Ordinary Differential Equations and Complex Variable  Book
Author : Bhui, Bikas Chandra & Chatterjee Dipak
Publisher : Vikas Publishing House
Release : 2022-08-16
ISBN : 9353381312
Language : En, Es, Fr & De

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Book Description :

Mathematics-II (Calculus, Ordinary Differential Equations and Complex Variable) for the paper BSC-104 of the latest AICTE syllabus has been written for the second semester engineering students of Indian universities. Paper BSC-104 is common for all streams except CS&E students. The book has been planned with utmost care in the exposition of concepts, choice of illustrative examples, and also in sequencing of topics. The language is simple, yet accurate. A large number of worked-out problems have been included to familiarize the students with the techniques to solving them, and to instil confidence. Authors’ long experience of teaching various grades of students has helped in laying proper emphasis on various techniques of solving difficult problems.

Fundamentals of Probability and Statistics for Engineers

Fundamentals of Probability and Statistics for Engineers Book
Author : T. T. Soong
Publisher : John Wiley & Sons
Release : 2004-06-25
ISBN : 0470868155
Language : En, Es, Fr & De

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Book Description :

This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.

Pattern Recognition

Pattern Recognition Book
Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Release : 2003-05-15
ISBN : 9780080513621
Language : En, Es, Fr & De

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Book Description :

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest

Mathematics for Machine Learning

Mathematics for Machine Learning Book
Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Release : 2020-03-31
ISBN : 1108470041
Language : En, Es, Fr & De

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Book Description :

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

The Probabilistic Method

The Probabilistic Method Book
Author : Noga Alon,Joel H. Spencer
Publisher : John Wiley & Sons
Release : 2016-01-26
ISBN : 1119061954
Language : En, Es, Fr & De

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Book Description :

Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics. Emphasizing the methodology and techniques that enable problem-solving, The Probabilistic Method, Fourth Edition begins with a description of tools applied to probabilistic arguments, including basic techniques that use expectation and variance as well as the more advanced applications of martingales and correlation inequalities. The authors explore where probabilistic techniques have been applied successfully and also examine topical coverage such as discrepancy and random graphs, circuit complexity, computational geometry, and derandomization of randomized algorithms. Written by two well-known authorities in the field, the Fourth Edition features: Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results The Probabilistic Method, Fourth Edition is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory. Noga Alon, PhD, is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal Random Structures and Algorithms, Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize. Joel H. Spencer, PhD, is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal Random Structures and Algorithms and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of Ramsey Theory, Second Edition, also published by Wiley.

Introduction to Information Retrieval

Introduction to Information Retrieval Book
Author : Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Publisher : Cambridge University Press
Release : 2008-07-07
ISBN : 1139472100
Language : En, Es, Fr & De

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Book Description :

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Understanding Statistics in the Behavioral Sciences

Understanding Statistics in the Behavioral Sciences Book
Author : Robert R. Pagano
Publisher : Cengage Learning
Release : 2012-01-01
ISBN : 1133713939
Language : En, Es, Fr & De

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Book Description :

Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids, and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students -- even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction to Probability Theory

Introduction to Probability Theory Book
Author : Paul G. Hoel,Sidney C. Port,Charles J. Stone
Publisher : Unknown
Release : 1973
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Introduction to Probability Theory book written by Paul G. Hoel,Sidney C. Port,Charles J. Stone, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Practical Discrete Mathematics

Practical Discrete Mathematics Book
Author : Ryan T. White,Archana Tikayat Ray
Publisher : Packt Publishing Ltd
Release : 2021-02-22
ISBN : 1838983503
Language : En, Es, Fr & De

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Book Description :

A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer algorithms, and data science Key FeaturesApply the math of countable objects to practical problems in computer scienceExplore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematicsLearn complex statistical and mathematical concepts with the help of hands-on examples and expert guidanceBook Description Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks. Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level. As you learn the language of discrete mathematics, you'll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you'll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science. By the end of this book, you'll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning. What you will learnUnderstand the terminology and methods in discrete math and their usage in algorithms and data problemsUse Boolean algebra in formal logic and elementary control structuresImplement combinatorics to measure computational complexity and manage memory allocationUse random variables, calculate descriptive statistics, and find average-case computational complexitySolve graph problems involved in routing, pathfinding, and graph searches, such as depth-first searchPerform ML tasks such as data visualization, regression, and dimensionality reductionWho this book is for This book is for computer scientists looking to expand their knowledge of discrete math, the core topic of their field. University students looking to get hands-on with computer science, mathematics, statistics, engineering, or related disciplines will also find this book useful. Basic Python programming skills and knowledge of elementary real-number algebra are required to get started with this book.

Applications of Measure Theory to Statistics

Applications of Measure Theory to Statistics Book
Author : Gogi Pantsulaia
Publisher : Springer
Release : 2016-12-22
ISBN : 3319455788
Language : En, Es, Fr & De

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Book Description :

This book aims to put strong reasonable mathematical senses in notions of objectivity and subjectivity for consistent estimations in a Polish group by using the concept of Haar null sets in the corresponding group. This new approach – naturally dividing the class of all consistent estimates of an unknown parameter in a Polish group into disjoint classes of subjective and objective estimates – helps the reader to clarify some conjectures arising in the criticism of null hypothesis significance testing. The book also acquaints readers with the theory of infinite-dimensional Monte Carlo integration recently developed for estimation of the value of infinite-dimensional Riemann integrals over infinite-dimensional rectangles. The book is addressed both to graduate students and to researchers active in the fields of analysis, measure theory, and mathematical statistics.

Probability With a View Towards Statistics Volume I

Probability With a View Towards Statistics  Volume I Book
Author : J. Hoffman-Jorgensen
Publisher : Routledge
Release : 2017-11-22
ISBN : 1351421581
Language : En, Es, Fr & De

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Book Description :

Volume I of this two-volume text and reference work begins by providing a foundation in measure and integration theory. It then offers a systematic introduction to probability theory, and in particular, those parts that are used in statistics. This volume discusses the law of large numbers for independent and non-independent random variables, transforms, special distributions, convergence in law, the central limit theorem for normal and infinitely divisible laws, conditional expectations and martingales. Unusual topics include the uniqueness and convergence theorem for general transforms with characteristic functions, Laplace transforms, moment transforms and generating functions as special examples. The text contains substantive applications, e.g., epidemic models, the ballot problem, stock market models and water reservoir models, and discussion of the historical background. The exercise sets contain a variety of problems ranging from simple exercises to extensions of the theory.

PROBABILITY AND STATISTICS HYDERABAD

PROBABILITY AND STATISTICS  HYDERABAD   Book
Author : T.K.V. IYENGAR
Publisher : Unknown
Release : 2015
ISBN : 9789385401978
Language : En, Es, Fr & De

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Book Description :

Download PROBABILITY AND STATISTICS HYDERABAD book written by T.K.V. IYENGAR, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Glossary and Sample Exams for DeVore s Probability and Statistics for Engineering and the Sciences 7th

Glossary and Sample Exams for DeVore s Probability and Statistics for Engineering and the Sciences  7th Book
Author : Jay L. Devore
Publisher : Duxbury Press
Release : 2008-01-18
ISBN : 9780495606499
Language : En, Es, Fr & De

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Book Description :

Download Glossary and Sample Exams for DeVore s Probability and Statistics for Engineering and the Sciences 7th book written by Jay L. Devore, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.