Statistics for Engineers and Scientists

Author: William Navidi
Publisher: McGraw-Hill Science/Engineering/Math
ISBN: 9780073376332
Format: PDF, Docs
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Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Statistics for Scientists and Engineers

Author: Ramalingam Shanmugam
Publisher: John Wiley & Sons
ISBN: 1118228960
Format: PDF, ePub
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Provides insight on coding complex algorithms using the "loop unrolling technique" Covers dynamic data dependent systems such as industrial robots, unmanned aerial vehicles (UAV) and pilot-less machines Contains extensive exercises at the end of each chapter and examples from inter-disciplinary fields

Statistics for Science and Engineering

Author: John J. Kinney
Publisher: Pearson College Division
ISBN: 9780201437201
Format: PDF, Docs
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Statistics for Science and Engineering was written for an introductory one or two semester course in probability and statistics for junior or senior level students. It is an introduction to the statistical analysis of data that arise from experiments, sample surveys, or other observational studies. It focuses on topics that are frequently used by scientists and engineers, particularly the topics of regression, design of experiments, and statistical process control. Graphs and Statistics, Random Variables and Probability Distributions, Estimation and Hypothesis Testing, Simple Linear Regression–Summarizing Data with Equations, Multiple Linear Regression, Design of Science and Engineering Experiments, Statistical Process Control For all readers interested in statistics for science and engineering.

Introduction to Probability and Statistics for Engineers and Scientists

Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0123948428
Format: PDF
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Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

Introduction to Probability and Statistics for Scientists and Engineers

Author: Walter A. Rosenkrantz
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN: 9780070539884
Format: PDF, Kindle
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This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.

Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter
Publisher: Cengage Learning
ISBN: 1111827044
Format: PDF
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PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the student-oriented approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention. A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output (using MINITAB and other programs) gives students the necessary practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Principles of Statistics for Engineers and Scientists

Author: William Cyrus Navidi
Publisher: College Ie Overruns
ISBN: 9780070166974
Format: PDF, ePub
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Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Probability and Statistics for Scientists and Engineers

Author: Rao V. Dukkipati
Publisher: New Academic Science Limited
ISBN: 9781906574833
Format: PDF, Kindle
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Coverage of all course fundamentals in easy-to-understand methodology. Clarity in the presentation of concepts Review questions, true/false, and fill in the blanks for each chapter. Over 230 fully solved problems with step-by-step solutions Over 520 additional practice problems with answers

Applied Statistics for Engineers and Scientists

Author: Jay L. Devore
Publisher: Cengage Learning
ISBN: 113311136X
Format: PDF, Docs
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.