Combining sample and non-sample information in a mixed generalized maximum entropy approach: Modeling the primary sectors of Hungary and Poland

A. Tonini; R.A. Jongeneel

Combining sample and non-sample information in a mixed generalized maximum entropy approach: Modeling the primary sectors of Hungary and Poland

Agricultural Economics and Rural Policy

Research output: Contribution to conference › Conference paper › Academic › peer-review

Original language	English
Number of pages	38
Publication status	Published - 2005
Event	2nd Conference on Information and Entropy Econometrics: Theory, Method and Applications - Duration: 23 Sept 2005 → 25 Sept 2005

Conference/symposium

Conference/symposium	2nd Conference on Information and Entropy Econometrics: Theory, Method and Applications
Period	23/09/05 → 25/09/05

Access to Document

https://edepot.wur.nl/37902

Cite this

@conference{055f4624f11f4419a3f75ee66ffa05b2,

title = "Combining sample and non-sample information in a mixed generalized maximum entropy approach: Modeling the primary sectors of Hungary and Poland",

author = "A. Tonini and R.A. Jongeneel",

note = "Conference in Honor of George Judge; 2nd Conference on Information and Entropy Econometrics: Theory, Method and Applications ; Conference date: 23-09-2005 Through 25-09-2005",

year = "2005",

language = "English",

}

Combining sample and non-sample information in a mixed generalized maximum entropy approach: Modeling the primary sectors of Hungary and Poland. / Tonini, A.; Jongeneel, R.A.
2005. Paper presented at 2nd Conference on Information and Entropy Econometrics: Theory, Method and Applications.

Research output: Contribution to conference › Conference paper › Academic › peer-review

TY - CONF

T1 - Combining sample and non-sample information in a mixed generalized maximum entropy approach: Modeling the primary sectors of Hungary and Poland

AU - Tonini, A.

AU - Jongeneel, R.A.

N1 - Conference in Honor of George Judge

PY - 2005

Y1 - 2005

M3 - Conference paper

T2 - 2nd Conference on Information and Entropy Econometrics: Theory, Method and Applications

Y2 - 23 September 2005 through 25 September 2005

ER -