Engineering Mathematics and Statistics

Engineering Mathematics and Statistics PDF Author: Nicholas P. Cheremisinoff
Publisher: Routledge
ISBN: 1351450980
Category : Mathematics
Languages : en
Pages : 200

Get Book

Book Description
This pocket handbook is intended as a handy reference guide for engineers, scientists and students on widely used mathematical relationships, statistical formulas and problem-solving methods. It is a compilation of useful formulas and generalised problem-solving techniques employed by practitioners in the analysis and interpretation of scientific data and problem solving. Written in short note form, it is intended to provide the user with a quick, easy reference to information with ample references provided for further readings. Illustrated examples are included for more involved problem-solving methods. Many of the techniques are well suited to adaptatation on personal computers and there are more detailed instructions included to guide and illustrate computer aided problem solving.

Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access

Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access PDF Author:
Publisher:
ISBN: 9781337762021
Category :
Languages : en
Pages :

Get Book

Book Description


Engineering Mathematics and Statistics

Engineering Mathematics and Statistics PDF Author: Nicholas P. Cheremisinoff
Publisher: Routledge
ISBN: 1351450972
Category : Mathematics
Languages : en
Pages : 117

Get Book

Book Description
This pocket handbook is intended as a handy reference guide for engineers, scientists and students on widely used mathematical relationships, statistical formulas and problem-solving methods. It is a compilation of useful formulas and generalised problem-solving techniques employed by practitioners in the analysis and interpretation of scientific data and problem solving. Written in short note form, it is intended to provide the user with a quick, easy reference to information with ample references provided for further readings. Illustrated examples are included for more involved problem-solving methods. Many of the techniques are well suited to adaptatation on personal computers and there are more detailed instructions included to guide and illustrate computer aided problem solving.

Engineering Mathematics Volume - III (Statistical and Numerical Methods) (For 1st Year - 2nd Semester of JNTU, Hyderabad)

Engineering Mathematics Volume - III (Statistical and Numerical Methods) (For 1st Year - 2nd Semester of JNTU, Hyderabad) PDF Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 9352832442
Category : Mathematics
Languages : en
Pages :

Get Book

Book Description
Engineering Mathematics

Statistics for Engineering and the Sciences Student Solutions Manual

Statistics for Engineering and the Sciences Student Solutions Manual PDF Author: William M. Mendenhall
Publisher: CRC Press
ISBN: 1498731856
Category : Mathematics
Languages : en
Pages : 458

Get Book

Book Description
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

Fundamentals of Probability and Statistics for Engineers

Fundamentals of Probability and Statistics for Engineers PDF Author: T. T. Soong
Publisher: John Wiley & Sons
ISBN: 9780470868140
Category : Mathematics
Languages : en
Pages : 410

Get Book

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.

Engineering Mathematics Through Applications

Engineering Mathematics Through Applications PDF Author: Kuldeep Singh
Publisher: Bloomsbury Publishing
ISBN: 0230345980
Category : Technology & Engineering
Languages : en
Pages : 944

Get Book

Book Description
This popular, world-wide selling textbook teaches engineering mathematics in a step-by-step fashion and uniquely through engineering examples and exercises which apply the techniques right from their introduction. This contextual use of mathematics is highly motivating, as with every topic and each new page students see the importance and relevance of mathematics in engineering. The examples are taken from mechanics, aerodynamics, electronics, engineering, fluid dynamics and other areas. While being general and accessible for all students, they also highlight how mathematics works in any individual's engineering discipline. The material is often praised for its careful pace, and the author pauses to ask questions to keep students reflecting. Proof of mathematical results is kept to a minimum. Instead the book develops learning by investigating results, observing patterns, visualizing graphs and answering questions using technology. This textbook is ideal for first year undergraduates and those on pre-degree courses in Engineering (all disciplines) and Science. New to this Edition: - Fully revised and improved on the basis of student feedback - New sections - More examples, more exam questions - Vignettes and photos of key mathematicians

Engineering Statistics

Engineering Statistics PDF Author: Douglas C. Montgomery
Publisher: Wiley Global Education
ISBN: 111813799X
Category : Technology & Engineering
Languages : en
Pages : 546

Get Book

Book Description
Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors teaching experience along with feedback from numerous adopters of previous editions.

Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists PDF Author: Sheldon M. Ross
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 532

Get Book

Book Description
Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.

Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications PDF Author: William DeCoursey
Publisher: Elsevier
ISBN: 0080489753
Category : Mathematics
Languages : en
Pages : 396

Get Book

Book Description
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