Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to.

This revised edition is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. Its clear writing style and homework problems make it ideal for the classroom or for self-study. The book: demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings; expands readers' understanding of disruptive...

A unique, in-depth guide to options pricing and valuing their greeks, along with a four dimensional approach towards the impact of changing market circumstances on options How to Calculate Options Prices and Their Greeks is the only book of its kind, showing you how to value options and the greeks according to the Black Scholes model but also how to do this without consulting a model. You'll build a solid understanding of options and hedging strategies...

Um als Data Scientist erfolgreich zu sein, müssen Sie über ein solides mathematisches Grundwissen verfügen. Dieses Buch bietet einen leicht verständlichen Überblick über die Mathematik, die Sie in der Data Science benötigen. Thomas Nield führt Sie Schritt für Schritt durch Bereiche wie Infinitesimalrechnung, Wahrscheinlichkeit, lineare Algebra, Statistik und Hypothesentests und zeigt Ihnen, wie diese Mathe-Basics beispielsweise in...

An introduction to algorithms and their problem-solving potential in the everyday world outlines alternative methods for managing twelve different scenarios using the same systems that underline a word processor, a Google search engine, or a Facebook ad.

"An introduction to Bayesian statistics with simple and pop culture-based explanations. Topics covered include measuring your own uncertainty in a belief, applying Bayes' theorem, and calculating distributions"--

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book's illustrative examples reveal how we are living in a statistical...

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered....

This book provides a unique andÈbalanced approach to probability, statistics, and stochastic processes. ¨Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area.¨The Second Edition features new coverage of analysis of variance (ANOVA), consistency and efficiency of estimators, asymptotic theory for maximum likelihood estimators, empirical distribution function and the Kolmogorov-Smirnov...