Luca Leuzzi (31 results)

Condition: New.

Hardcover. Condition: new. Hardcover. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field. Ideal for students and researchers in the quantitative sciences, this book provides an authoritative and approachable account of probability theory, written by leading researchers in the field. Modern applications are also developed, giving readers an appreciation of important research topics such as statistical mechanics and information theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardback. Condition: New. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

hardcover. Condition: New. Special order direct from the distributor.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New. In.

Hardcover. Condition: Brand New. 424 pages. 10.00x7.01x0.50 inches. In Stock.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Paperback. Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field. Ideal for students and researchers in the quantitative sciences, this book provides an authoritative and approachable account of probability theory, written by leading researchers in the field. Modern applications are also developed, giving readers an appreciation of important research topics such as statistical mechanics and information theory. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condition: Brand New. 368 pages. 9.21x6.14x0.87 inches. In Stock.

Hardcover. Condition: Very Good. 1st Edition. This book has been read, but is in a clean and very good condition. All pages are intact with no highlighting or writing contained within. The spine remains undamaged with tight binding. Fast dispatch within and from the UK. 100% money back guarantee.

Hardcover. Condition: new. Hardcover. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field. Ideal for students and researchers in the quantitative sciences, this book provides an authoritative and approachable account of probability theory, written by leading researchers in the field. Modern applications are also developed, giving readers an appreciation of important research topics such as statistical mechanics and information theory. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Softcover. Condition: Sehr gut. softcvoer, 207 pp, fine (nrxl-246 Language: DEU.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.