Log in

Relevant bibliographies by topics / Forecasting accuracy / Journal articles

To see the other types of publications on this topic, follow the link: Forecasting accuracy.

Journal articles on the topic 'Forecasting accuracy'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Forecasting accuracy.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Chindia, E. W. "Forecasting Techniques and Accuracy of Performance Forecasting." International Journal of Management Excellence 7, no. 2 (2016): 813. http://dx.doi.org/10.17722/ijme.v7i2.262.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Chindia, E. W. "Forecasting Techniques and Accuracy of Performance Forecasting." International Journal of Management Excellence 7, no. 2 (2016): 813–20. http://dx.doi.org/10.17722/ijme.v7i2.851.

Full text

Abstract:

This article explores the impact of the different forecasting methods (FMs) on the accuracy of performance forecasting (APF) in large manufacturing firms (LMFs), in Kenya. The objective of the study was to assess if the different forecasting methods have an influence on any of the aspects of measures of APF. APF, in manufacturing operations, is seldom derived accurately. However, LMFs tend to hire skilled forecasters, to a great extent, to ensure APF when preparing future budgets. The different types of forecasting techniques have been known to influence the behavior of operations resulting in

APA, Harvard, Vancouver, ISO, and other styles

3

Sunny, Mathew, and Krishnan S. Ram. "Study of Sales Forecasting Accuracy using ARIMA Model." MERC Global's International Journal of Management, 8, no. 2 (2020): 40–46. https://doi.org/10.35620/IJM.2020.8201.

Full text

Abstract:

Forecasting is the program of action that entails an objective study of the past, present and future, to best estimate what that future holds in the way of sales for any given product or firm. One of the earliest recorded attempts at quantitative forecasting was that of John H. Patterson for the National Cash Register Company in 1887. Forecasting models have been widely investigated by researchers and practitioners. Here to understand the accuracy of forecasting, a study was conducted at Tata Global Beverages Limited (TGBL). The sample size for the study consists of the sales for the tea brand

APA, Harvard, Vancouver, ISO, and other styles

4

Doh, Joon-Chien. "Accuracy of Expenditure Forecasting." Asian Journal of Public Administration 11, no. 2 (1989): 200–215. http://dx.doi.org/10.1080/02598272.1989.10800221.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Ramesh Kumar, Sowmya. "Accuracy vs. Interpretability: Balancing Trade - Offs in Forecasting Models." International Journal of Science and Research (IJSR) 10, no. 3 (2021): 1964–66. http://dx.doi.org/10.21275/sr24213015550.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Kimes, S. E. "Group Forecasting Accuracy in Hotels." Journal of the Operational Research Society 50, no. 11 (1999): 1104. http://dx.doi.org/10.2307/3010081.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Makridakis, Spyros. "Forecasting accuracy and system complexity." RAIRO - Operations Research 29, no. 3 (1995): 259–83. http://dx.doi.org/10.1051/ro/1995290302591.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Kimes, S. E. "Group forecasting accuracy in hotels." Journal of the Operational Research Society 50, no. 11 (1999): 1104–10. http://dx.doi.org/10.1057/palgrave.jors.2600770.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Köchling, Gerrit, Philipp Schmidtke, and Peter N. Posch. "Volatility forecasting accuracy for Bitcoin." Economics Letters 191 (June 2020): 108836. http://dx.doi.org/10.1016/j.econlet.2019.108836.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Hitam, Nor Azizah, and Amelia Ritahani Ismail. "Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 1121. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp1121-1128.

Full text

Abstract:

Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. Methods has been proposed to construct models including machine learning algorithms such as Neural Networks (NN), Support Vector Machines (SVM) and Deep Learning. This paper presents a comparative performance of Machine Learning algorithms for cryptocurrency forecasting. Specifically, this paper concentrates on forecasting of time series data. SVM has several advantages over the other models in forecasting, and previous research revealed that SVM provides a res

APA, Harvard, Vancouver, ISO, and other styles

11

Nor, Azizah Hitam, and Ritahani Ismail Amelia. "Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 1121–28. https://doi.org/10.11591/ijeecs.v11.i3.pp1121-1128.

Full text

Abstract:

Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. Methods has been proposed to construct models including machine learning algorithms such as Neural Networks (NN), Support Vector Machines (SVM) and Deep Learning. This paper presents a comparative performance of Machine Learning algorithms for cryptocurrency forecasting. Specifically, this paper concentrates on forecasting of time series data. SVM has several advantages over the other models in forecasting, and previous research revealed that SVM provides a res

APA, Harvard, Vancouver, ISO, and other styles

12

Chindia, E. W. "Forecasting Techniques, External Operating Environment and Accuracy of Performance Forecasting." Advances in Economics and Business 4, no. 8 (2016): 468–75. http://dx.doi.org/10.13189/aeb.2016.040809.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Thammawijaya, Panithee, and Rapeepong Suphanchaimat. "Accuracy of COVID-19 Prediction Modeling Techniques." Outbreak, Surveillance, Investigation & Response (OSIR) Journal 17, no. 3 (2024): 146–54. http://dx.doi.org/10.59096/osir.v17i3.270877.

Full text

Abstract:

The unprecedented impact of the COVID-19 pandemic has revealed that forecasting capability is critically needed in making strategic decisions and formulating reasonable countermeasures. This study aimed to assess the predictive accuracy in forecasting the numbers of COVID-19 cases using Thailand’s national COVID-19 surveillance database from January 2020– June 2021 based on three analytical models: a susceptible-exposed-infectious-recovery compartmental model, an auto-regressive integrated moving average model, and a long short-term memory (LSTM) network model. All forecasting methods had mode

APA, Harvard, Vancouver, ISO, and other styles

14

Wofuru-Nyenke, Ovundah King. "Forecasting Model Accuracy Assessment in a Bottled Water Supply Chain." International Journal of Engineering and Modern Technology 8, no. 5 (2023): 101–8. http://dx.doi.org/10.56201/ijemt.v8.no5.2022.pg101.108.

Full text

Abstract:

This study presents an accuracy assessment of various classical time series forecasting methods to determine the most accurate forecasting method for predicting demand of the 50cl product of a bottled water supply chain. The classical time series forecasting methods compared are the moving average, weighted moving average, exponential smoothing, adjusted exponential smoothing, linear trend line, Holt’s model, and Winter’s model. The Mean Absolute Percent Deviation (MAPD) value was determined for the various forecasting methods to find the forecasting method with the least MAPD and hence the hi

APA, Harvard, Vancouver, ISO, and other styles

15

Ikenson, Ben. "Improving accuracy of wind speed forecasting." Scilight 2022, no. 35 (2022): 351108. http://dx.doi.org/10.1063/10.0013808.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Pitsyk, V. V. "Accuracy Forecasting in System Tolerance Monitoring." Measurement Techniques 47, no. 7 (2004): 643–48. http://dx.doi.org/10.1023/b:mete.0000043650.20162.9b.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Lee, Cheng-Few, K. Thomas Liaw, and Chunchi Wu. "Forecasting accuracy of alternative dividend models." International Review of Economics & Finance 1, no. 3 (1992): 261–70. http://dx.doi.org/10.1016/1059-0560(92)90015-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Geurts, Michael D., and H. Dennis Tolley. "Causal partitioning and sales forecasting accuracy." Journal of Statistical Computation and Simulation 37, no. 1-2 (1990): 1–12. http://dx.doi.org/10.1080/00949659008811289.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Wozniak, P. P., B. M. Konopka, J. Xu, G. Vriend, and M. Kotulska. "Forecasting residue–residue contact prediction accuracy." Bioinformatics 33, no. 21 (2017): 3405–14. http://dx.doi.org/10.1093/bioinformatics/btx416.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Hassani, Hossein, Emmanuel Sirimal Silva, Nikolaos Antonakakis, George Filis, and Rangan Gupta. "Forecasting accuracy evaluation of tourist arrivals." Annals of Tourism Research 63 (March 2017): 112–27. http://dx.doi.org/10.1016/j.annals.2017.01.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Wang, Yinao. "The grey interval prediction method and its prediction accuracy." Grey Systems: Theory and Application 4, no. 2 (2014): 339–46. http://dx.doi.org/10.1108/gs-05-2014-0013.

Full text

Abstract:

Purpose – The purpose of this paper is to discuss the interval forecasting, prediction interval and its reliability. When the predicted interval and its reliability are construction, the general rule which must satisfy is studied, grey wrapping band forecasting method is perfect. Design/methodology/approach – A forecasting method puts forward a process of prediction interval. It also elaborates on the meaning of interval (the probability of the prediction interval including the real value of predicted variable). The general rule is abstracted and summarized by many forecasting cases. The gener

APA, Harvard, Vancouver, ISO, and other styles

22

Hezel, Dianne M., S. Evelyn Stewart, Bradley C. Riemann, and Richard J. McNally. "Affective forecasting accuracy in obsessive compulsive disorder." Behavioural and Cognitive Psychotherapy 47, no. 5 (2019): 573–84. http://dx.doi.org/10.1017/s1352465819000134.

Full text

Abstract:

AbstractBackground:Research indicates that people suffering from obsessive compulsive disorder (OCD) possess several cognitive biases, including a tendency to over-estimate threat and avoid risk. Studies have suggested that people with OCD not only over-estimate the severity of negative events, but also under-estimate their ability to cope with such occurrences. What is less clear is if they also miscalculate the extent to which they will be emotionally impacted by a given experience.Aims:The aim of the current study was twofold. First, we examined if people with OCD are especially poor at pre

APA, Harvard, Vancouver, ISO, and other styles

23

Chen, Yan Ping, and Yan Li Chang. "The Factors Affecting Accuracy Rate of Power Load Forecasting in Summer." Advanced Materials Research 1049-1050 (October 2014): 617–20. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.617.

Full text

Abstract:

This paper analysis the low power load forecasting accuracy in summer deep. It found the factors affecting accuracy rate of power load forecasting in summer, and proposed the measures to increase the load forecasting accuracy.

APA, Harvard, Vancouver, ISO, and other styles

24

Laras, Puspita Sari, and M. Simatupang Togar. "The Role of Demand Forecasting Analysis (Case Study: Bio Farma for Papua Area)." International Journal of Current Science Research and Review 06, no. 02 (2023): 1040–55. https://doi.org/10.5281/zenodo.7614921.

Full text

Abstract:

<strong>ABSTRACT: </strong>Bio Farma as the only vaccine manufacturer in Indonesia, divides its marketing area for vaccine distribution throughout Indonesia, represented by marketing representatives in 34 provinces in Indonesia. Segmentation based on geography for vaccine products is divided into five regions, one of the region is Papua. The forecast method used in Bio Farma for Papua Area is still manual. Marketers order vaccines from central Bio Farma and make forecasts if product stock is empty. If the product is empty, a buffer stock will be created. With the buffer stock system that has b

APA, Harvard, Vancouver, ISO, and other styles

25

Hutton, Amy P., and Phillip C. Stocken. "Prior Forecasting Accuracy and Investor Reaction to Management Earnings Forecasts." Journal of Financial Reporting 6, no. 1 (2021): 87–107. http://dx.doi.org/10.2308/jfr-2020-005.

Full text

Abstract:

ABSTRACT We examine the properties of firms' forecasting records and whether the accuracy of their prior earnings forecasts affects investor response to their subsequent forecasts.Within the context of a Bayesian model of investor learning, we find that the stock price response to management forecast news is increasing in prior forecast accuracy and also in the length of a firm's forecasting record. Further, we document that investors are more responsive to extreme good and bad news forecasts when a firm has an established forecasting record. Overall, these results suggest that a firm's prior

APA, Harvard, Vancouver, ISO, and other styles

26

Dalimunthe, Sri Baginda, Rosnani Ginting, and Sukaria Sinulingga. "The Implementation Of Machine Learning In Demand Forecasting : A Review Of Method Used In Demand Forecasting With Machine Learning." Jurnal Sistem Teknik Industri 25, no. 1 (2023): 41–49. http://dx.doi.org/10.32734/jsti.v25i1.9290.

Full text

Abstract:

Demand Forecasting is essentials in making production decisions. Demand forecasting accuracy affects supply chain management and can reduce its costs. The development of information technology, especially artificial intelligence, has many benefits in many industrial sectors. The development of artificial intelligence is also applied to demand forecasting. The development of Artificial Intelligence technology in forecasting can produce better accuracy than conventional methods that do not use Artificial Intelligence. The use of machine learning in demand forecasting is in various industrial sec

APA, Harvard, Vancouver, ISO, and other styles

27

Yuan, Ziran, Pengli Zhang, Bo Ming, Xiaobo Zheng, and Lu Tian. "Joint Forecasting Method of Wind and Solar Outputs Considering Temporal and Spatial Correlation." Sustainability 15, no. 19 (2023): 14628. http://dx.doi.org/10.3390/su151914628.

Full text

Abstract:

In response to the problem of low forecasting accuracy in wind and solar power outputs, this study proposes a joint forecasting method for wind and solar power outputs by using their spatiotemporal correlation. First, autocorrelation analysis and causal testing are used to screen the forecasting factors. Then, a convolutional neural network–long short-term memory (CNN-LSTM) is constructed and trained to extract features effectively. Finally, the independent, ensemble, and joint forecasting effects are compared, using a certain clean energy base as the research object. Results show that the for

APA, Harvard, Vancouver, ISO, and other styles

28

Gao, Chong, Hai Jie Ma, and Pei Na Gao. "Daily Load Forecasting Based on Combination Forecasting Techniques." Advanced Materials Research 201-203 (February 2011): 2685–89. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2685.

Full text

Abstract:

To improve the accuracy of load forecasting is the focus of the load forecasting. As the daily load by various environmental factors and periodical, this makes the load time series of changes occurring during non-stationary random process. The key of improving the accuracy of artificial neural network training is to select effective training sample. This paper based on the time series forecasting techniques’ random time series autocorrelation function to select the neural network training samples. The method of modeling is more objective. By example, the comparison with autoregressive (AR) Mod

APA, Harvard, Vancouver, ISO, and other styles

29

Ramli, Nazirah, Siti Musleha Ab Mutalib, Daud Mohamad, Mahmod Othman, and Asyura Abd Nassir. "Fuzzy Time Series Forecasting Accuracy Based on Hybrid Similarity Measure." Journal of Science and Mathematics Letters 11, no. 2 (2023): 93–103. http://dx.doi.org/10.37134/jsml.vol11.2.11.2023.

Full text

Abstract:

The majority of fuzzy time series forecasting (FTSF) algorithms assess forecasting accuracy using an error-based distance. The predicted value is defuzzified to a crisp number and the error-based distance will be computed. Defuzzification causes some information to be lost, which leads to its inability to comprehend the level of uncertainty that has been preserved during the forecasting process. This paper proposes an enhanced FTSF model with forecasting accuracy developed based on a new hybrid similarity measure combining the centre of gravity and area and height. Three properties of the hybr

APA, Harvard, Vancouver, ISO, and other styles

30

Thompson, Dr Sarah. "The Impact of Demand Forecasting Accuracy on Customer Satisfaction." International Journal of Supply Chain Management 9, no. 5 (2024): 55–66. https://doi.org/10.47604/ijscm.3117.

Full text

Abstract:

Purpose: The aim of the study was to analyze the impact of demand forecasting accuracy on customer satisfaction Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low-cost advantage as compared to field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Accurate demand forecasting significantly enhances customer satisfaction by

APA, Harvard, Vancouver, ISO, and other styles

31

Wofuru-Nyenke, Ovundah. "Predicting demand in a bottled water supply chain using classical time series forecasting models." Journal of Future Sustainability 2, no. 2 (2022): 65–80. http://dx.doi.org/10.5267/j.jfs.2022.9.006.

Full text

Abstract:

In this paper, various classical time series forecasting methods were compared to determine the forecasting method with the highest accuracy in predicting demand of the 50cl product of a bottled water supply chain. The classical time series forecasting methods compared are the moving average, weighted moving average, exponential smoothing, adjusted exponential smoothing, linear trend line, Holt’s model, and Winter’s model. These methods were evaluated to determine the method with the least Mean Absolute Deviation (MAD) value and hence the highest forecasting accuracy. From the results, the wei

APA, Harvard, Vancouver, ISO, and other styles

32

Karaev, Alan Kanamatovich, Oksana S. Gorlova, Marina L. Sedova, Vadim V. Ponkratov, Nataliya S. Shmigol, and Svetlana E. Demidova. "Improving the Accuracy of Forecasting the TSA Daily Budgetary Fund Balance Based on Wavelet Packet Transforms." Journal of Open Innovation: Technology, Market, and Complexity 8, no. 3 (2022): 107. http://dx.doi.org/10.3390/joitmc8030107.

Full text

Abstract:

Improving the accuracy of cash flow forecasting in the TSA is the key to fulfilling government payment obligations, minimizing the cost of maintaining the cash reserve, providing the absence of outstanding debt accumulation, and ensuring investment in various financial instruments to obtain additional income. The article describes a method for improving the accuracy of forecasting a time series composed of daily budgetary fund balances in the TSA, based on its preliminary decomposition using a discrete wavelet packet transform of the Daubechies family. This makes it possible to increase the ac

APA, Harvard, Vancouver, ISO, and other styles

33

Thanavanich, Thanawut, Mayoon Yaibuates, Pumipong Duangtang, and Seksan Winyangkul. "Hybrid algorithms based on historical accuracy for forecasting particulate matter concentrations." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1297. http://dx.doi.org/10.11591/ijai.v11.i4.pp1297-1305.

Full text

Abstract:

Air pollution has become one of the most significant problems impacting human health. Particulate matter (PM) 2.5 is usually used as an identifier of the intensity of the pollution. The PM2.5 forecasting is essential and gainful for reducing health risks. The efficient model for forecasting PM2.5 concentration can be used in determining the period of outdoor activities, thereby reducing the impact on health. In addition, the government sector can use the forecasting model as a tool for laying down measures a burning control. In this work, the hybrid forecasting algorithms for improving accurac

APA, Harvard, Vancouver, ISO, and other styles

34

Thanawut, Thanavanich, Yaibuates Mayoon, Duangtang Pumipong, and Winyangkul Seksan. "Hybrid algorithms based on historical accuracy for forecasting particulate matter concentrations." International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1297–305. https://doi.org/10.11591/ijai.v11.i4.pp1297-1305.

Full text

Abstract:

Air pollution has become one of the most significant problems impacting human health. Particulate matter (PM) 2.5 is usually used as an identifier of the intensity of the pollution. The PM2.5 forecasting is essential and gainful for reducing health risks. The efficient model for forecasting PM2.5 concentration can be used in determining the period of outdoor activities, thereby reducing the impact on health. In addition, the government sector can use the forecasting model as a tool for laying down measures a burning control. In this work, the hybrid forecasting algorithms for improving accurac

APA, Harvard, Vancouver, ISO, and other styles

35

Vaidya, Rashesh. "Accuracy of Moving Average Forecasting for NEPSE." Journal of Nepalese Business Studies 13, no. 1 (2020): 62–76. http://dx.doi.org/10.3126/jnbs.v13i1.34706.

Full text

Abstract:

A simple moving average is one of the oldest and the simplest techniques of forecasting the trends of the stock market. The technical analysts follow mainly three types of moving averages, namely; simple, weighted, and exponential moving averages. Among these three types, as per the interest of investors, short-term and long-term time duration is used to calculate the trend using the moving average. All the mentioned moving averages are used by investors or analysts to predict the future trends of the market using historical data. Hence, for evaluating their forecasting accuracy, the paper has

APA, Harvard, Vancouver, ISO, and other styles

36

Joon Chien, Doh. "Accuracy of Expenditure Forecasting: The Singapore Experience." Asian Journal of Public Administration 17, no. 2 (1995): 345–60. http://dx.doi.org/10.1080/02598272.1995.10800312.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Carbone, Robert, and Wilpen L. Gorr. "ACCURACY OF JUDGMENTAL FORECASTING OF TIME SERIES." Decision Sciences 16, no. 2 (1985): 153–60. http://dx.doi.org/10.1111/j.1540-5915.1985.tb01480.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Beckett-Camarata, Jane. "Revenue forecasting accuracy in Ohio local governments." Journal of Public Budgeting, Accounting & Financial Management 18, no. 1 (2006): 77–99. http://dx.doi.org/10.1108/jpbafm-18-01-2006-b004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Aroian, Leo A. "The Forecasting Accuracy of Major Time Series." Technometrics 27, no. 4 (1985): 442–43. http://dx.doi.org/10.1080/00401706.1985.10488085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Song, Haiyan, Stephen F. Witt, and Thomas C. Jensen. "Tourism forecasting: accuracy of alternative econometric models." International Journal of Forecasting 19, no. 1 (2003): 123–41. http://dx.doi.org/10.1016/s0169-2070(01)00134-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Schmidbauer, Harald, Angi Rösch, Tolga Sezer, and Vehbi Sinan Tunalioğlu. "Robust trading rule selection and forecasting accuracy." Journal of Systems Science and Complexity 27, no. 1 (2014): 169–80. http://dx.doi.org/10.1007/s11424-014-3302-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

He, Ling T., and Chenyi Hu. "Midpoint method and accuracy of variability forecasting." Empirical Economics 38, no. 3 (2009): 705–15. http://dx.doi.org/10.1007/s00181-009-0286-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Erickson, Gary M. "Marketing managers need more than forecasting accuracy." International Journal of Forecasting 3, no. 3-4 (1987): 453–55. http://dx.doi.org/10.1016/0169-2070(87)90040-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Moiseev, S. N. "Accuracy of ES-layer screening-frequency forecasting." Radiophysics and Quantum Electronics 36, no. 2 (1993): 80–82. http://dx.doi.org/10.1007/bf01059487.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Witt, Christine A., and Stephen F. Witt. "An overview of tourism forecasting accuracy comparisons." Tourist Review 48, no. 2 (1993): 29–35. http://dx.doi.org/10.1108/eb058122.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Galbreth, Michael R., Mümin Kurtuluş, and Mikhael Shor. "How collaborative forecasting can reduce forecast accuracy." Operations Research Letters 43, no. 4 (2015): 349–53. http://dx.doi.org/10.1016/j.orl.2015.04.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Vu, Jo C. "Effect of Demand Volume on Forecasting Accuracy." Tourism Economics 12, no. 2 (2006): 263–76. http://dx.doi.org/10.5367/000000006777637412.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Kumar, Manmohan S. "Forecasting Accuracy of Crude Oil Futures Prices." IMF Working Papers 91, no. 93 (1991): 1. http://dx.doi.org/10.5089/9781451951110.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Stonebraker, Peter W., and Pricha Pantumsinchai. "Improving Forecasting Accuracy through Trading Day Adjustment." International Journal of Operations & Production Management 9, no. 1 (1989): 45–56. http://dx.doi.org/10.1108/eum0000000001217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Mills, Anthony, David Harris, and Martin Skitmore. "The accuracy of housing forecasting in Australia." Engineering, Construction and Architectural Management 10, no. 4 (2003): 245–53. http://dx.doi.org/10.1108/09699980310489951.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!