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Author : Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher : S. Chand Publishing
Page : 128 pages
File Size : 47,6 Mb
Release : 2024-06-30
Category : Science
ISBN : 9789352837489
Probability and Statistics & Complex Variables
Author : Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher : S. Chand Publishing
Page : 128 pages
File Size : 55,7 Mb
Release : 2024-06-30
Category : Science
ISBN : 9789352838271
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
Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publisher : Springer Science & Business Media
Page : 488 pages
File Size : 53,7 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9781846281686
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author : Cain Mckay
Publisher : Scientific e-Resources
Page : 332 pages
File Size : 51,7 Mb
Release : 2019-01-30
Category : Electronic
ISBN : 9781839473302
Author : Bhui, Bikas Chandra & Chatterjee Dipak
Publisher : Vikas Publishing House
Page : 128 pages
File Size : 44,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789353381301
Mathematics-II (Probability and Statistics) for the paper BSC-106 of the latest AICTE syllabus has been written for the second semester engineering students of Indian universities. Paper BSC-106 is for the CS&E stream. 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.
Author : G. Jay Kerns
Publisher : Lulu.com
Page : 388 pages
File Size : 46,7 Mb
Release : 2010-01-10
Category : Education
ISBN : 9780557249794
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
Author : Oswaal Editorial Board
Publisher : Oswaal Books
Page : 353 pages
File Size : 50,6 Mb
Release : 2024-03-27
Category : Study Aids
ISBN : 9789359582542
Description of the Product: • 100% Exam Ready With 2024 Papers (All 8 Shifts) Fully Solved • Concept Clarity Learn key Concepts through Mind Map & Explanations • Extensive Practice With 1000+ Questions & 2 Sample Papers • 100% Exam Readiness With the Latest Previous Years’ Trend Analysis (2017-2024) • Valuable Exam Insights With Tips & Tricks to ace GATE Exam in 1st attempt
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 40,5 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author : Svetlozar T. Rachev,Markus Hoechstoetter,Frank J. Fabozzi,Sergio M. Focardi
Publisher : John Wiley & Sons
Page : 676 pages
File Size : 55,8 Mb
Release : 2010-09-07
Category : Business & Economics
ISBN : 9780470400937
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.
Author : Oswaal Editorial Board
Publisher : Oswaal Books
Page : 573 pages
File Size : 53,8 Mb
Release : 2023-06-14
Category : Study Aids
ISBN : 9789357283625
Description of the product: •100% Updated with 2023 Papers Fully Solved •Extensive Practice with 1000+ Questions & 2 Sample Papers •Crisp Revision with Smart Mind Maps & Mnemonics •Valuable Exam Insights with Hints, Shortcuts & Expert Tips to crack GATE on the first attempt •Concept Clarity with 1000+ Concepts •100% Exam Readiness with Subject-wise Trend Analysis (2018-2023
Author : Oswaal Editorial Board
Publisher : Oswaal Books
Page : 331 pages
File Size : 47,7 Mb
Release : 2023-05-09
Category : Study Aids
ISBN : 9789357281270
Description of the product: •100% Updated with 2023 Papers Fully Solved •Extensive Practice with 1000+ Questions & 2 Sample Papers •Crisp Revision with Smart Mind Maps & Mnemonics •Valuable Exam Insights with Hints, Shortcuts & Expert Tips to crack GATE on the first attempt •Concept Clarity with 1000+ Concepts •100% Exam Readiness with Subject-wise Trend Analysis (2018-2023
Author : David Forsyth
Publisher : Springer
Page : 367 pages
File Size : 54,9 Mb
Release : 2017-12-13
Category : Computers
ISBN : 9783319644103
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.
Author : Oscar Kempthorne,Leroy Folks
Publisher : Unknown
Page : 584 pages
File Size : 41,6 Mb
Release : 1971
Category : Mathematics
ISBN : UOM:39015015725149
General background; The nature of real populations; Calculus of probability; Some commonly occurring mathematical distributions; Distributions of functions of random variables; Distribution of sample statistics; Stochastic processes; General outline of data interpretation problems; Goodness of fit of a completely specified model; Parametric models and likelihood theory; Inference by likelihood and baye's theorem; Statistical tests; Statistical intervals; Decision making; Relationships pf two variables and curve fitting; Structured populations.
Author : Abdo Abou Jaoudé
Publisher : Cambridge Scholars Publishing
Page : 635 pages
File Size : 44,5 Mb
Release : 2019-08-30
Category : Mathematics
ISBN : 9781527539259
This book analyses selected algorithms for random and stochastic phenomena in the areas of basic probability, random variables, mathematical expectation, special probability and statistical distributions, random processes, and Markov chains. It also presents a novel approach, titled the “Complex Probability Paradigm”, and applies it to the Brownian motion. As such, the book will be of interest to all scholars, researchers, and undergraduate and graduate students in mathematics, computer science, and science in general.
Author : William DeCoursey
Publisher : Elsevier
Page : 396 pages
File Size : 47,7 Mb
Release : 2003-05-14
Category : Mathematics
ISBN : 9780080489759
Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory
