Handbook of Statistics, Volume 21, Stochastic Processes: Modeling and Simulation

Handbook of Statistics 21: Stochastic Pr

Handbook of Statistics 21: Stochastic Processes: Modelling and Simulation

✍ Ludwig Fahrmeir 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 226 KB

Handbook of Applied Multivariate Statist

Handbook of Applied Multivariate Statistics and Mathematical Modeling Volume 228 || Confirmatory Factor Analysis

✍ Hoyle, Rick H. 📂 Article 📅 2000 🏛 Elsevier 🌐 English ⚖ 35 KB

Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. Th

Handbook of Applied Multivariate Statist

Handbook of Applied Multivariate Statistics and Mathematical Modeling Volume 4015 || Multivariate Meta-analysis

✍ Becker, Betsy J. 📂 Article 📅 2000 🏛 Elsevier 🌐 English ⚖ 35 KB

Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. Th

Handbook of Materials Modeling Volume 10

Handbook of Materials Modeling Volume 109 || Ensembles and Computer Simulation Calculation of Response Functions

✍ Yip, Sidney 📂 Article 📅 2005 🏛 Springer Netherlands 🌐 English ⚖ 192 KB

The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From t

Handbook of Materials Modeling Volume 1

Handbook of Materials Modeling Volume 1 || Kinetic Theory and Simulation of Single-Channel Water Transport

✍ Yip, Sidney 📂 Article 📅 2005 🏛 Springer Netherlands 🌐 English ⚖ 615 KB

The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From t

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Markov Processes and Stochastic Differential Equations

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 477 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta