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Generalized Convexity and Generalized Monotonicity
EUR 80.20
Generalized Convexity, Generalized Monotonicity and Applications
Handbook of Generalized Convexity and Generalized Monotonicity
Generalized Convexity, Generalized Monotonicity and Applications - Proceedings of the 7th International Symposium on Generalized Convexity and Generalized Monotonicity
The first part of the book contains invited papers by leading experts (J.M.
Borwein, R.E.
Burkard, B.S.
Mordukhovich and H.
Tuy) with applications of (generalized) convexity to such diverse fields as algebraic dynamics of the Gamma function values, discrete optimization, Lipschitzian stability of parametric constraint systems, and monotonicity of functions.
The second part contains contributions presenting the latest developments in generalized convexity and generalized monotonicity: its connections with discrete and with continuous optimization, multiobjective optimization, fractional programming, nonsmooth Aanalysis, variational inequalities, and its applications to concrete problems such as finding equilibrium prices in mathematical economics, or hydrothermal scheduling.
EUR 123.00
Fitting Statistical Distributions - The Generalized Lambda Distribution and Generalized Bootstrap Methods
Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data.
Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems.
For a specific application, which of the dozens of distributions should one use? What if none of them fit well?Fitting Statistical Distributions helps answer those questions.
Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC).
They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading.
It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development.
Without it, you may be using obsolete methods, wasting time, and risking incorrect results.
EUR 67.95
Lorenz, Thomas: Mutational Analysis
1., st Edition.
EUR 96.25
Biagioni, Hebe de Azevedo: A Nonlinear Theory of Generalized Functions
Das, Shantanu: Functional Fractional Calculus
