SearchKitabu (a.k.a DieBuchSuche) - injini ya utafutaji kwa ajili ya vitabu vyote.
Sisi ni kuangalia katika maduka zaidi ya 100 kwa ajili ya kutoa yako bora - Tafadhali subiri…
- Gharama za usafirishaji kwa Kenya (Rekebisha kwa GBR, AUS, NZL, IND, MOZ, AGO, NAM, TZA, TZA, GHA, ETH, MWI)
Unda zilizopangwa awali

Vitabu vyote kwa 9783639407556 - Linganisha kila kutoa

Ingizo la nyaraka:
9783639407556 - Beck Dominik: Evaluating Probability Forecasts - Kitabu

(?):

Evaluating Probability Forecasts (2014) (?)

Uwasilishaji kutoka: MarekaniKitabu UjerumaniHiki ni kitabu paperbackKitabu kipya
ISBN:

9783639407556 (?) au 3639407555

, katika Ujerumani, BLUES KIDS OF AMER 01/10/2014, Paperback, Mpya
New Book. This item is printed on demand. Shipped from US This item is printed on demand.
Data kutoka 10/19/2014 03:05h
ISBN (kuweka mbadala): 3-639-40755-5, 978-3-639-40755-6
Ingizo la nyaraka:
9783639407556 - Dominik Beck: Evaluating Probability Forecasts - Kitabu

(?):

Evaluating Probability Forecasts (2014) (?)

Uwasilishaji kutoka: UjerumaniKitabu UjerumaniHiki ni kitabu paperbackKitabu kipyakupata
ISBN:

9783639407556 (?) au 3639407555

, katika Ujerumani, Av Akademikerverlag Mrz 2014, Paperback, Mpya, kupata
This item is printed on demand - Print on Demand Titel. Neuware - Forecasting is of utmost importance in statistics. Besides the very popular point forecasts, there are probability forecasts which naturally incorporate the uncertainty associated with a prediction. Probability forecasts have first been used in meteorology, however, applications are manifold, E.g. in economics the Survey of Professional Forecasters (SPF). In order to determine 'good' probability forecasts, the concepts of sharpness and calibration are introduced. Calibration which is the statistical consistency between the forecasts and the observations, is assessed by the Probability Integral Transform (PIT). Sharpness measures the extent to which a probabilistic forecast is spread out and is assessed on the basis of so called scoring rules. These scoring rules are introduced along with some properties, the most important being (strict) propriety. Different scoring rules are introduced such as the quadratic score, the log score or the Ranked Probability Score. The empirical analysis is based on the SPF dataset. In addition to the single forecasts of the participants to the SPF, linear and logarithmic combinations with different weighting schemes of these single forecasts are analysed. Finally, statistical tests for equal predictice power in the sense of the well-known Diebold-Mariano test of these combinations are introduced and used to search for the best combination scheme. 92 pp. Englisch
Zaidi…
Data kutoka 10/19/2014 03:05h
ISBN (kuweka mbadala): 3-639-40755-5, 978-3-639-40755-6
Ingizo la nyaraka:
9783639407556 - Beck Dominik: Evaluating Probability Forecasts - Kitabu

(?):

Evaluating Probability Forecasts (2012) (?)

Uwasilishaji kutoka: UjerumaniKitabu UjerumaniHiki ni kitabu paperbackKitabu kipyakupata
ISBN:

9783639407556 (?) au 3639407555

, katika Ujerumani, AV Akademikerverlag, Paperback, Mpya, kupata
This item is printed on demand for shipment within 3 working days.
Data kutoka 10/19/2014 03:05h
ISBN (kuweka mbadala): 3-639-40755-5, 978-3-639-40755-6
Ingizo la nyaraka:
9783639407556 - Beck Dominik: Evaluating Probability Forecasts - Kitabu

(?):

Evaluating Probability Forecasts (2014) (?)

Uwasilishaji kutoka: UjerumaniKitabu UjerumaniHiki ni kitabu paperbackKitabu kipya
ISBN:

9783639407556 (?) au 3639407555

, katika Ujerumani, BLUES KIDS OF AMER 01/10/2014, Paperback, Mpya
New Book. Shipped from UK. This item is printed on demand.
Data kutoka 10/19/2014 03:05h
ISBN (kuweka mbadala): 3-639-40755-5, 978-3-639-40755-6
Ingizo la nyaraka:
9783639407556 - Beck, Dominik: Evaluating Probability Forecasts - Kitabu

(?):

Evaluating Probability Forecasts (?)

Uwasilishaji kutoka: UjerumaniKitabu UjerumaniHiki ni kitabu paperbackKitabu kipya
ISBN:

9783639407556 (?) au 3639407555

, katika Ujerumani, Av Akademikerverlag, Paperback, Mpya
Bure meli
Forecasting is of utmost importance in statistics. Besides the very popular point forecasts, there are probability forecasts which naturally incorporate the uncertainty associated with a prediction. Probability forecasts have first been used in meteorology, however, applications are manifold, E.g. in economics the Survey of Professional Forecasters (SPF). In order to determine "good" probability forecasts, the concepts of sharpness and calibration are introduced. Calibration which is the statistical consistency between the forecasts and the observations, is assessed by the Probability Integral Transform (PIT). Sharpness measures the extent to which a probabilistic forecast is spread out and is assessed on the basis of so called scoring rules. These scoring rules are introduced along with some properties, the most important being (strict) propriety. Different scoring rules are introduced such as the quadratic score, the log score or the Ranked Probability Score. The empirical analysis is based on the SPF dataset. In addition to the single forecasts of the participants to the SPF, linear and logarithmic combinations with different weighting schemes of these single forecasts are analysed. Finally, statistical tests for equal predictice power in the sense of the well-known Diebold-Mariano test of these combinations are introduced and used to search for the best combination scheme.92 S. 220 mmVersandfertig in 3-5 Tagen, Softcover
Zaidi…
Data kutoka 09/24/2015 16:49h
ISBN (kuweka mbadala): 3-639-40755-5, 978-3-639-40755-6

9783639407556

Kupata vitabu vyote inapatikana kwa namba yako ISBN 9783639407556 Linganisha bei haraka na kwa urahisi na kuagiza mara moja.

Inapatikana nadra vitabu, vitabu kutumika na mkono wa pili vitabu vya kichwa "Evaluating Probability Forecasts: Theory and Application to Macroeconomic Survey Data" kutoka Beck, Dominik zimeorodheshwa kabisa.

steckbrief buch baumstarke deko