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sensitivity-analysis
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prof. RNDr. Jan Ámos Víšek CSc.
Academic staff at Faculty of Social Sciences, Faculty of Mathematics and Physics
7 classes
80 publications
Classes
class
Probability Theory and Statistics I
JEB011 |
Faculty of Social Sciences
class
Probability Theory and Statistics II
JEB012 |
Faculty of Social Sciences
class
Econometrics I
JEB013 |
Faculty of Social Sciences
class
Econometrics II
JEB014 |
Faculty of Social Sciences
class
Paralipomenon k Moně Lise - aneb co se do první přednášky nevešlo
JU3V002 |
Faculty of Social Sciences
class
Matematika a Mona Lisa aneb je zdravý rozum opravdu zdravý
JU3V003 |
Faculty of Social Sciences
class
Robust statistics and econometrics – regression analysis in a bit alternative perspective
NMST604 |
Faculty of Mathematics and Physics
Publications
publication
Sensitivity analysis of M-estimates of nonlinear regression model : influence of data subset
2002 |
Faculty of Social Sciences
publication
Sensitivity analysis of M-Estimates
1996 |
Faculty of Social Sciences
publication
Instrumental weighted variables under heteroscedasticity Part I - Consistency
2017 |
Publication without faculty affiliation
publication
Instrumental weighted variables under heteroscedasticity part II - Numerical study
2017 |
Publication without faculty affiliation
publication
A Few Critical Comments to the Paper by Marek Loužek: The Economic Approach to Science
2016 |
Publication without faculty affiliation
publication
Estimating the Model with Fixed and Random Effects by a Robust Method
2015 |
Publication without faculty affiliation
publication
Asymptotic Representation Of The Instrumental Weighted Variables - Theory And Practice: Part I - deriving the formula for the asymptotic representation
2014 |
Publication without faculty affiliation
publication
Asymptotic Representation Of The Instrumental Weighted Variables - Theory And Practice: Part II - numerical study
2014 |
Publication without faculty affiliation
publication
Robust test of restricted model
2014 |
Publication without faculty affiliation
publication
Diagnostics of robust identification of model
2014 |
Publication without faculty affiliation
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