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Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book:
This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra.
Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book:
This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra.
1. |
Fundamental Probability: A Computational Approach
Paolella, Marc Quantity Available: 5
Book Description: Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, 2006. Hardcover. Book Condition: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,k. Bookseller Inventory # ABE-6274595567 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
2. |
Fundamental Probability: A Computational Approach (Hardback)
Paolella, Marc Quantity Available: 1
Book Description: John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Book Condition: New. 248 x 174 mm. Language: English Brand New Book. Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, Fundamental Probability provides an engaging and hands on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book presents new, innovative material alongside the classic theory. It goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat tailed distributions, and several basic concepts used in finance. It emphasises computational matters and programming methods via generous use of examples in MATLAB. It includes a large, self contained Calculus/Analysis appendix with derivations of all required tools, such as Leibniz rule, exchange of derivative and integral, Fubini s theorem, and univariate and multivariate Taylor series. It presents over 150 end of chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. Bookseller Inventory # AAH9780470025949 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
3. |
Fundamental Probability
Paolella, Marc Quantity Available: > 20
Book Description: Wiley 01/10/2014, 2014. Hardback. Book Condition: New. New Book. This item is printed on demand. Shipped from US This item is printed on demand. Bookseller Inventory # IJ-9780470025949 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
4. |
Fundamental Probability: A Computational Approach (Hardback)
Paolella, Marc Quantity Available: 1
Book Description: John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Book Condition: New. 248 x 174 mm. Language: English Brand New Book. Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, Fundamental Probability provides an engaging and hands on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book presents new, innovative material alongside the classic theory. It goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat tailed distributions, and several basic concepts used in finance. It emphasises computational matters and programming methods via generous use of examples in MATLAB. It includes a large, self contained Calculus/Analysis appendix with derivations of all required tools, such as Leibniz rule, exchange of derivative and integral, Fubini s theorem, and univariate and multivariate Taylor series. It presents over 150 end of chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. Bookseller Inventory # AAH9780470025949 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
5. |
Fundamental Probability: A Computational Approach
Paolella, Marc Quantity Available: 3
Book Description: John Wiley & Sons Inc, 2006. Hardcover. Book Condition: Brand New. 1st edition. 466 pages. 9.50x7.00x1.00 inches. In Stock. Bookseller Inventory # __0470025948 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
6. |
Fundamental Probability: A Computational Approach
Paolella, Marc Quantity Available: 20
Book Description: Wiley. Hardcover. Book Condition: New. Hardcover. 488 pages. Dimensions: 9.8in. x 6.8in. x 1.3in.Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to financeinsurance and computer science. Developed from a successful course, Fundamental Probability provides an engaging and hands-on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools. Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book: Presents new, innovative material alongside the classic theory. Goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat-tailed distributions, and several basic concepts used in finance. Emphasises computational matters and programming methods via generous use of examples in MATLAB. Includes a large, self-contained CalculusAnalysis appendix with derivations of all required tools, such as Leibniz rule, exchange of derivative and integral, Fubinis theorem, and univariate and multivariate Taylor series. Presents over 150 end-of-chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online. This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Bookseller Inventory # 9780470025949 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |