Stochastic Frontier Analysis
β Kumbhakar S.C., Lovell C.A.K.
π Library
π
2000
π CUP
π English
β¦ LIBER β¦
π
Stochastic frontier analysis
β Scribed by Subal C. Kumbhakar, C. A. Knox Lovell
- Publisher
- Cambridge University Press
- Year
- 2003
- Tongue
- English
- Leaves
- 343
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Frontiers in Stochastic AnalysisβBSDEs,
β Cohen, S., GyΓΆngy, I., dos Reis, G., Siska, D., Szpruch, L
π Library
π
2019
π Springer
π English
This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs. The volume addresses recent advances involving backward stochastic diff
A Practitionerβs Guide to Stochastic Fro
β Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle
π Library
π
2015
π Cambridge University Press
π English
Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the bas
Stochastic Geometry -- Research Frontie
β David Coupier
π Library
π
2019
π Springer International Publishing
π English
This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these
Stochastic analysis
β Kiyosi Ito
π Library
π
1985
π NH
π English
Stochastic analysis, a branch of probability theory stemming from the theory of stochastic differential equations, is becoming increasingly important in connection with partial differential equations, non-linear functional analysis, control theory and statistical mechanics.
Stochastic analysis
β Malliavin, Paul
π Library
π
1997
π Springer
π English
This book accounts in 5 independent parts, recent main developments of Stochastic Analysis: Gross-Stroock Sobolev space over a Gaussian probability space; quasi-sure analysis; anticipate stochastic integrals as divergence operators; principle of transfer from ordinary differential equations to stoch