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„After reading some introductory material on conventions and notions, it is possible to use separate chapters as introductions to various ideas. This is how readers should use this book.“ (Computing Reviews, 1 October 2011)
Probability Concepts and Theory for Engineers
von Harry SchwarzlanderA thorough introduction to the fundamentals of probabilitytheory
This book offers a detailed explanation of the basic models andmathematical principles used in applying probability theory topractical problems. It gives the reader a solid foundation forformulating and solving many kinds of probability problems forderiving additional results that may be needed in order to addressmore challenging questions, as well as for proceeding with thestudy of a wide variety of more advanced topics.
Great care is devoted to a clear and detailed development of the'conceptual model' which serves as the bridge between anyreal-world situation and its analysis by means of the mathematicsof probability. Throughout the book, this conceptual model is notlost sight of. Random variables in one and several dimensions aretreated in detail, including singular random variables, transformations, characteristic functions, and sequences. Alsoincluded are special topics not covered in many probability texts, such as fuzziness, entropy, spherically symmetric random variables, and copulas.
Some special features of the book are:
* a unique step-by-step presentation organized into 86 topicalSections, which are grouped into six Parts
* over 200 diagrams augment and illustrate the text, which helpspeed the reader's comprehension of the material
* short answer review questions following each Section, with ananswer table provided, strengthen the reader's detailed grasp ofthe material contained in the Section
* problems associated with each Section provide practice inapplying the principles discussed, and in some cases extend thescope of that material
* an online separate solutions manual is available for coursetutors.
The various features of this textbook make it possible forengineering students to become well versed in the 'machinery'of probability theory. They also make the book a useful resourcefor self-study by practicing engineers and researchers who need amore thorough grasp of particular topics.
This book offers a detailed explanation of the basic models andmathematical principles used in applying probability theory topractical problems. It gives the reader a solid foundation forformulating and solving many kinds of probability problems forderiving additional results that may be needed in order to addressmore challenging questions, as well as for proceeding with thestudy of a wide variety of more advanced topics.
Great care is devoted to a clear and detailed development of the'conceptual model' which serves as the bridge between anyreal-world situation and its analysis by means of the mathematicsof probability. Throughout the book, this conceptual model is notlost sight of. Random variables in one and several dimensions aretreated in detail, including singular random variables, transformations, characteristic functions, and sequences. Alsoincluded are special topics not covered in many probability texts, such as fuzziness, entropy, spherically symmetric random variables, and copulas.
Some special features of the book are:
* a unique step-by-step presentation organized into 86 topicalSections, which are grouped into six Parts
* over 200 diagrams augment and illustrate the text, which helpspeed the reader's comprehension of the material
* short answer review questions following each Section, with ananswer table provided, strengthen the reader's detailed grasp ofthe material contained in the Section
* problems associated with each Section provide practice inapplying the principles discussed, and in some cases extend thescope of that material
* an online separate solutions manual is available for coursetutors.
The various features of this textbook make it possible forengineering students to become well versed in the 'machinery'of probability theory. They also make the book a useful resourcefor self-study by practicing engineers and researchers who need amore thorough grasp of particular topics.
