Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

Erscheinungsjahr 2005
ISBN: 978-0-521-84766-7
Verlag: Cambridge University Press

Buch, Englisch, 372 Seiten, Format (B × H): 174 mm x 247 mm, Gewicht: 923 g

Probability and Statistics are as much about intuition and problem solving, as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have supplied complete solutions. These solutions are adapted to needs and skills of students. To make it of broad value, the authors supply basic mathematical facts as and when they are needed, and have sprinkled some historical information throughout the text.

Autoren/Hrsg.

Suhov, Yuri (University of Cambridge)

Suhov, Yuri

Kelbert, Mark (University of Wales, Swansea)

Kelbert, Mark

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

Introduction; Part A. Probability: A1. Discrete outcomes; A2. Continuous outcomes; A3. Index of problems for Part A; Part B. Statistics: B1. Parameter estimation; B2. Hypothesis testing; B3. Tripos exam questions in IB statistics (1992–2004); Tables of random variables and probability distributions; Glossary.

Über Autor(innen)

Kelbert, Mark
Mark Kelbert is a Reader in Statistics in the Department of Mathematics at Swansea University. For many years he has also been associated with the Moscow Institute of Information Transmission Problems and the International Institute of Earthquake Prediction Theory and Mathematical Geophysics (Moscow).