Skip to main navigation
Skip to search
Skip to main content
Nazarbayev University Home
Home
Profiles
Research units
Projects
Research output
Activities
Search by expertise, name or affiliation
Nonparametric efficiency estimation in stochastic environments: Noise-to-signal estimation, finite sample performance and hypothesis testing
Thierry Post
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Nonparametric efficiency estimation in stochastic environments: Noise-to-signal estimation, finite sample performance and hypothesis testing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Semiparametric Efficiency
100%
Banking
100%
Environmental Noise
100%
Performance Test
100%
Finite Sample Performance
100%
Stochastic Environment
100%
Hypothesis Testing
100%
Signal Estimation
100%
Estimation Method
50%
Well-defined
50%
Production Technology
50%
Efficiency Evaluation
50%
Non-parametric Approach
50%
European Banks
50%
Banking Data
50%
Stochastic Efficiency
50%
INIS
signals
100%
environment
100%
performance
100%
efficiency
100%
testing
100%
noise
100%
hypothesis
100%
stochastic processes
100%
applications
33%
data
33%
banks
33%
output
33%
errors
33%
production
33%
Mathematics
Stochastics
100%
Statistical Hypothesis Testing
100%
Production Technology
50%
Application Area
50%