Uncertainty Quantification using R

Uncertainty Quantification using R

Eduardo Souza de Cursi

45,52 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2023
Materia
Probabilidad y estadística
ISBN:
9783031177866
45,52 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems.    The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.  

Artículos relacionados

  • ENGINEERING UNCERTAINTY AND RISK ANALYSIS
    Sergio E. Serrano
    An integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering u...
    Disponible

    134,56 €

  • UNDERSTANDING AND CALCULATING THE ODDS
    Catalin Barboianu
    Man’s daily life is full of decisional situations. Whether we have math skills or not, we frequently estimate and compare probabilities, sometimes without realizing it, especially when making decisions. But probabilities are not just simple numbers attached objectively or subjectively to events, as they perhaps look, and their calculus and usage is highly predisposed to qualita...
    Disponible

    31,61 €

  • Random Graphs and Complex Networks
    Remco van der Hofstad
    ...
  • Introduction to Malliavin Calculus
    David Nualart / Eulalia Nualart
    ...
    Disponible

    60,35 €

  • Probability, Markov Chains, Queues, and Simulation
    William J. Stewart
    Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic process...
  • SPSS for you
    A. Rajathi / P. Chandran
    In an era where statistical analysis underpins breakthroughs across all fields, the importance of mastering statistical software cannot be overstated. 'SPSS for you' emerges as a pivotal resource for anyone keen to navigate the complexities of statistical analysis with ease and precision. Drawing from over 25 years of teaching experience, practical guidance in statistical analy...
    Disponible

    29,30 €

Otros libros del autor

  • Uncertainty Quantification with R
    Eduardo Souza de Cursi
    This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of Bayesian uncertainty quantification methods. Pract...
  • Uncertainty Quantification using R
    Eduardo Souza de Cursi
    This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical as...
  • Uncertainty Quantification and Stochastic Modelling with EXCEL
    Eduardo Souza de Cursi
    This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear pr...