Pitanje br. 1841
 
Pitanje: 
 Poslovne prognostike (modeli prognoza, statističke prognoze na bazi vremenskih serija, jednostavni progostički postupci, ARIMA prognostički modeli)
Odgovor: 
 Knjige:

  1. Newbold, Paul: Statistika za poslovanje i ekonomiju. Zagreb : Mate, 2010 - sign. 311.1(075.8) /NEW/ s

  2. Šilj, Marko: Uvod u modernu poslovnu statistiku. Varaždinske Toplice : Tonimir ; Mostar : Ekonomski fakultet Sveučilišta, 1998 - sign. 519(075.8) /ŠILJ/ u

  3. Siegel, Andrew F.: Practical business statistics. Burr Ridge ; Boston ; Sydney : Irwin, cop. 1994 - sign. 519(075.8)=20 /SIE/ p

  4. Auer, David J.: The student's companion for use with Practical business statistics. Burr Ridge ; Boston ; Sydney : Irwin, cop. 1994 - sign. 519(075.8)=20 /AUE/ s

  5. Rozga, Ante: Poslovna statistika. Split : Ekonomski fakultet, 2000 - sign. 519(075.8) /ROZ/ p


Članci u časopisima:


  1. Žalac, Nikola: Neuronske mreže i poslovna prognostika. // Poslovna analiza i upravljanje. 1 (1997), 11-12 ; str. 39-45

  2. Birolla, Hugo: Izrada prognoza poslovnih događaja u budućnosti. // Informator : instruktivno-informativni list za ekonomska i pravna pitanja. 53 (2005), 5321 ; str. 13-14

  3. Ahec-Šonje: Ekonomska prognostika u Hrvatskoj : CROLEI indeks // Ekonomski pregled. 51 (2000), 5/6 ; str. 579-605


EBSCO Host


  1. Augustin, Nicole; Sauerbrei, Willi; Schumacher, Martin: The practical utility of incorporating model selection uncertainty into prognostic models for survival data. // Statistical Modelling: An International Journal, 2005, Vol. 5 Issue 2, p95-118

  2. Earnest, Arul; Chen, Mark I; Ng, Donald; Yee Sin, Leo: Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. // BMC Health Services Research, 2005, Vol. 5, p36-8

  3. CoAslanargun, Atilla; Mammadov, Mammadagha; Yazici, Berna; Yolacan, Senay: Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting. // Journal of Statistical Computation & Simulation, Jan2007, Vol. 77 Issue 1, p29-53

  4. Sauerbrei, Willi; Holländer, Norbert; Riley, Richard; Altman, Douglas: Evidence-Based Assessment and Application of Prognostic Markers: The Long Way from Single Studies to Meta-Analysis. // Communications in Statistics: Theory & Methods, Jul2006, Vol. 35 Issue 7, p1333-1342

  5. Cubiles-de-la-Vega, María-Dolores; Pino-Mejías, Rafael; Pascual-Acosta, Antonio; Muñoz-García, Joaquín: Building neural network forecasting models from time series ARIMA models: A procedure and a comparative analysis. // Intelligent Data Analysis, 2002, Vol. 6 Issue 1, p53

  6. Antolini, Laura; Nam, Byung-Ho; D'Agostino, Ralph B.: Inference on Correlated Discrimination Measures in Survival Analysis: A Nonparametric Approach. // Communications in Statistics: Theory & Methods, Sep2004, Vol. 33 Issue 9, p2117-2135

  7. Filardo, Andrew J.: How Reliable Are Recession Prediction Models? // Economic Review (01612387), 1999 2nd Quarter, Vol. 84 Issue 2, p35

  8. Nimark, Kristoffer P.: A Structural Model of Australia as a Small Open Economy. // Australian Economic Review, Mar2009, Vol. 42 Issue 1, p24-41

  9. Welham, Sue; Cullis, Brian; Gogel, Beverley; Gilmour, Arthur; Thompson, Robin: Prediction in linear mixed models. // Australian & New Zealand Journal of Statistics, Sep2004, Vol. 46 Issue 3, p325-347
UDK pojmovi: 
311 Statistika
Predmetnice: 
 Poslovna statistika