Open Journal of Statistics

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org
"Statistical Models for Forecasting Tourists’ Arrival in Kenya"
written by Albert Orwa Akuno, Michael Oduor Otieno, Charles Wambugu Mwangi, Lawrence Areba Bichanga,
published by Open Journal of Statistics, Vol.5 No.1, 2015
has been cited by the following article(s):
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[1] Modelling Tourist Arrivals in South Africa to Assess the Impact of the COVID-19 Pandemic on the Tourism Sector
African Journal of Hospitality, Tourism and …, 2022
[2] Optimization and Prediction of Intelligent Tourism Data
2022 IEEE 8th Intl Conference on Big Data Security …, 2022
[3] Predicting the Number of Tourists in-Flow to Kenya Using Seasonal Autoregressive Integrated Moving Average Model
2022
[4] Performance Analysis of the Triple Exponential Smoothing Method During the Covid19 Pandemic on Tourist Visit Data
… Information System & …, 2022
[5] Forecasting International Tourists Arrival to Nepal Using Autoregressive Integrated Moving Average (ARIMA)
Janapriya Journal of Interdisciplinary Studies, 2021
[6] Hierarchical forecasting of the zimbabwe international tourist arrivals
2021
[7] The Impact of Coronavirus Pandemic on Accommodations' Tourist Demand in Syria (Analytical Study of Lattakia accommodations)
2021
[8] Modeling and predicting foreign tourist arrivals to Sri Lanka: A comparison of three different methods
2020
[9] Forecasting international tourist arrivals in zanzibar using box–jenkins SARIMA model
2019
[10] Forecasting international tourist arrivals in Zanzibar using Box–Jenkins ARIMA model
2019
[11] The Forecasting of Foreign Tourists Arrival in Indonesia based on the Supply Chain Management: an Application of Artificial Neural Network and Holt Winters …
2019
[12] Comparison between multiplicative Holt Winter and decomposition method in predicting the number of incoming international tourists to Indonesia
2019
[13] Forecasting Annual International Tourist Arrivals in Zambia Using Holt-Winters Exponential Smoothing
2019
[14] Statistical Models for Forecasting Petroleum Pump Prices in Kenya
2018
[15] Developing Web-Based Application of Sales Forecasting System Using Triple Exponential Smoothing Method For Small and Medium Garment Enterprises
2018
[16] Forecasting Sri Lankan tourist arrivals: a comparative study of Holt-Winter's method versus ARIMA model
2018
[17] Seasonality in Tourism and Forecasting Foreign Tourist Arrivals in India
2018
[18] Tourist Arrivals in Sri Lanka: A Comparative Study of Holt-Winter's versus Box-Jenkin's Modeling Methods
2018
[19] การ พยากรณ์ จำนวน นักท่องเที่ยว ชาว จีน ที่ เดินทาง เข้า มา ใน ประเทศไทย
2018
[20] Tourist Arrivals in Sri Lanka: A Comparative Study of Holt-Winter's versus Box-Jenkin's Modeling Method
2018
[21] Forecasting the Number of Chinese Tourists in Thailand
Thai Science and Technology Journal, 2017
[22] A Framework of Predictive Analysis of Tourist Inflow in the Beaches of West Bengal: A Study of Digha-Mandarmoni Beach
Proceedings of the First International Conference on Computational Intelligence, Communication, and Business Analytics (CICBA 2017), 2017
[23] EXPONENTIAL SMOOTHING TECHNIQUES ON DAILY TEMPERATURE LEVEL DATA
2017
[24] Menentukan Penjualan Produk Terbaik di Perusahaan X Dengan Metode Winter Eksponensial Smoothing dan Metode Event Based
2017
[25] Time Series Modeling on Monthly Data of Tourist Arrivals in Nepal: An Alternative Approach
2017
[26] Perbandingan Metode Winter Eksponensial Smoothing Dan Metode Event Based Untuk Menentukan Penjualan Produk Terbaik Di Perusahaan X
2017
[27] Modelling and Forecasting Tourist Arrivals in Sri Lanka
2016
[28] Forcasting models for predicting future arrival of international tourists in India
ZENITH International Journal of Business Economics & Management Research, 2015
[29] Predicting Housing Price in Moroccan Cities Using Web Data
e-AGE 2015, 2015
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