Assist Prof Dr. Annalisa Stacchini | Economic Statistics| Best Researcher Award .

University of Bologna,Italy

Professional Profiles:

👨‍🎓 Bio Summary:

Assistant Professor Dr. Annalisa Stacchini is a dedicated educator and researcher specializing in Economic Statistics at the University of Bologna, Italy. Her academic journey includes a Ph.D. in Statistical Sciences, complemented by diverse degrees in Statistical, Financial, and Actuarial Sciences, Business Administration, and Philosophy. Annalisa has further qualifications in European Projects Design, Economics, and Finance, along with Journalism and Public Communication.

🎓 Education:

Annalisa’s educational background is rich and varied. She holds a Ph.D. in Statistical Sciences from the University of Bologna, where she focused on Statistical Methodology for Scientific Research. She also has master’s degrees in Statistical, Financial, and Actuarial Sciences, Business Administration, and Philosophy, showcasing her multidisciplinary approach to learning.

🔍 Research Focus:

Her research focuses on predicting nominal data in the presence of limited information, with an application to air tickets. This demonstrates her expertise in applying statistical methods to real-world economic scenarios, contributing to a deeper understanding of economic trends and behaviors.

🏆 Honors & Awards:

Annalisa has received several awards for her research activities, including the Best Paper Award at the International Tourism Congress held at Sultan Qaboos University in Oman. She has also been recognized for her excellence in research abroad, receiving the “Fondo per l’Eccellenza” (Fund for Excellence) for her research in Louvaine-la-Neuve, Belgium.

Professional Experience: 💼

Apart from her academic pursuits, Annalisa has held various management and organizational roles. She served as the Chief of Procurement and Bursar office at San Marino State Hospital and Social Security Institute, where she managed public procurement procedures, negotiated contracts, and oversaw key providers management and storehouse operations.

📚 Top Noted Publications :

Smoothing down arbitrariness in planning: From SWOT to participatory decision making

Authors: Stacchini, A.; Guizzardi, A.; Mariotti, A.

Published in: Land Use Policy, 2022, 119, 106213

A temporal construal theory explanation of the price-quality relationship in online dynamic pricing

Authors: Guizzardi, A.; Mariani, M.M.; Stacchini, A.

Published in: Journal of Business Research, 2022, 146, pp. 32–44

Can sustainability drive tourism development in small rural areas? Evidences from the Adriatic

Authors: Guizzardi, A.; Stacchini, A.; Costa, M.

Published in: Journal of Sustainable Tourism, 2022, 30(6), pp. 1280–1300

Destinations strategic groups via Multivariate Competition-based IPA

Authors: Guizzardi, A.; Stacchini, A.

Published in: Tourism Management, 2017, 58, pp. 40–50

Best buy: what does it mean in corporate travel?

Authors: Guizzardi, A.; Stacchini, A.; Ranieri, E.

Published in: Current Issues in Tourism, 2017, 20(2), pp. 129–134

Author Metrics 📊 :

Annalisa’s work has been recognized for its impact, as evidenced by her author metrics. Her publications have been well-received, contributing to her reputation as a respected scholar in the field of Economic Statistics.

📅 Research Timeline:

Throughout her career, Annalisa has maintained a consistent focus on advancing the field of Economic Statistics. Her research timeline showcases a progression from her early studies to her current position as an Assistant Professor, highlighting her dedication to continuous learning and research excellence

👨‍🎓 Bio Summary:

Assistant Prof. Dr. Amirah Alharthi is a dedicated academic professional with a Ph.D. in Statistics from the University of Leeds, UK. She is currently serving as a Statistics Assistant Professor at Taif University, where she has excelled in teaching and research. Amirah has a strong background in mathematics and has contributed significantly to the field of statistics, particularly in statistical learning algorithms. Her work has been recognized with various honors and awards, and she has a notable publication record in reputable scientific journals. Amirah is fluent in Arabic and English, with basic proficiency in Spanish.

🎓 Education:

Amirah Alharthi holds a Ph.D. in Statistics from the University of Leeds, UK. Her doctoral research focused on statistical learning algorithms, culminating in a thesis titled “Weighted classification tree-based ensemble methods.” She also holds a Master’s degree and a Bachelor’s degree in Mathematics from Taif University, where she specialized in statistical inference.

🔍 Research Focus:

Amirah’s research focuses on statistical learning algorithms, with a particular interest in developing ensemble methods for classification tasks. Her work has contributed to the advancement of statistical inference and has practical applications in various fields, including finance and public health.

🏆 Honors & Awards:

Dr. Alharthi has received several honors and awards for her contributions to the field of statistics. She has been recognized for her excellence in teaching and research, as well as for her leadership roles within academic institutions.

Professional Experience: 💼

Dr. Alharthi has a wealth of professional experience in academia and industry. She has served as a Statistics Assistant Professor at Taif University, teaching a variety of statistics and mathematics courses to students at different levels. Prior to her current role, she worked as a Mathematics Teacher for the Ministry of Education, where she honed her teaching skills and provided training for trainees.

📚 Top Noted Publications :

Estimation under a finite mixture of modified Weibull distributions based on censored data via EM algorithm with application
Authors: SF Ateya, AS Alharthi
Journal: J. Stat. Theory Appl.
Volume: 13
Issue: 3
Pages: 196-204
Year: 2014

Modified generalized Weibull distribution: theory and applications
Authors: MS Shama, AS Alharthi, FA Almulhim, AM Gemeay, MA Meraou, …
Journal: Scientific Reports
Volume: 13
Issue: 1
Pages: 12828
Year: 2023

Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model
Authors: DM Khan, M Ali, N Iqbal, U Khalil, HM Aljohani, AS Alharthi, AZ Afify
Journal: Frontiers in Public Health
Volume: 10
Pages: 922795
Year: 2022

Estimations in a constant-stress partially accelerated life test for generalized Rayleigh distribution under Type-II hybrid censoring scheme
Authors: A Rabie, E Hussam, AH Muse, RA Aldallal, AS Alharthi, HM Aljohani
Journal: Journal of Mathematics
Year: 2022

Maximum likelihood estimation under a finite mixture of modified Weibull distributions based on censored data with application
Authors: SF Ateya, AS Alharthi
Journal: Journal of Applied Statistical Science
Volume: 20
Issue: 3
Pages: 33-41
Year: 2012

Author Metrics 📊 :

Dr. Alharthi’s publications have had a significant impact, with a strong citation record and high-quality contributions to the field of statistics. Her research is widely recognized for its innovative approach and practical relevance.

📅 Research Timeline:

Throughout her career, Amirah has demonstrated a continuous dedication to advancing the field of statistics. Her research timeline reflects a commitment to excellence and a passion for contributing to the scientific community.