Introduction to Probability and Statistics for Engineers and Scientists

Name: Introduction to Probability and Statistics for Engineers and Scientists
Brand: Elsevier Science Publishing Co Inc
SKU: 9780128243466
Price: 547.02 PLN
Availability: InStock

Autor: Ross, Sheldon M. (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)

Język:

Oprawa: Twarda

Wydawca: Elsevier Science Publishing Co Inc

Dostępność: Dostępna u dostawcy w małych ilościach

Wysyłamy za 11-15 dni

547.02 zł

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emp...

Informacje o książce

Autor

Ross, Sheldon M. (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2021

strony

704

EAN

9780128243466

ISBN

0128243465

Enbook ID

33061053

Wydawca

Elsevier Science Publishing Co Inc

Waga

1212

Wymiary

243 x 199 x 28

Pełny opis

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields. Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and ScientistsFeatures examples that use significant real data from actual studies across life science, engineering, computing and businessIncludes new coverage to support the use of ROffers new chapters on big data techniques

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