👩‍⚕️Prof. Hanaa Abu-Zinadah | Tufts University | United States

Prof. Hanaa Abu-Zinadaha distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

google scholar

orcid profile

📚 Academic Journey:

Hana Hussien Mohssen Abuznadah embarked on a remarkable academic journey, earning her Bachelor’s degree in Mathematics from the General Directorate of Girls Colleges in Jeddah, Kingdom of Saudi Arabia, in 1997. With excellence and honor, she pursued her Master’s degree at the Girls College of Education-Scientific Section, specializing in Statistics, completing it in 2001.Her academic fervor continued as she delved into a Doctorate program at the same institution, earning her Ph.D. in Mathematical Statistics in 2006. Her thesis on “Statistical Inference about Rayleigh Density Function and its Parameter” and later research on the “Exponentiated Pareto Distribution” showcased her dedication to statistical studies.

👩‍🏫 Teaching Odyssey:

Hana’s teaching career commenced at Palms School in Jeddah, Saudi Arabia, where she served as a Teacher from 1997 to 1998. She then transitioned to the Girls College of Education, Scientific Section, Department of Mathematics, holding roles as Teacher Assistant, Lecturer, and eventually Assistant Professor from 1998 to 2007. Furthering her career, she became an Associate Professor at King Abdulaziz University and later joined the University of Jeddah, where she currently holds the position of Professor in the College of Sciences, Department of Mathematics and Statistics.

👩‍🔬 Academic Leadership:

Throughout her tenure, Hana has been an integral part of various committees and played key roles in academic development. Notably, she served as the Head of the department in the Girls Branch, a member of the Committee of Graduate Studies and Scientific Research, and a coordinator for Statistics and Computer courses during her illustrious career.

🌐 Workshops and Conferences:

Hana actively participated in numerous academic events, including book fairs, scientific forums, and international conferences. Her engagement in conferences like the OSDI Conference in Jordan and the German Open Conference on Probability and Statistics reflects her commitment to staying abreast of global advancements in her field.

🏆 Awards and Recognition:

Hana’s contributions to the field were recognized when her article, “Numerical Solution of Traveling Waves in Chemical Kinetics,” secured the first place for Highly Cited and Hot Papers among University of Jeddah publications in 2022. Additionally, her acknowledgment by Elsevier as a top OpenAccess contributor attests to her impact on open science.

🔍 Research Interests

With a focus on Distribution Theory, Statistical Inferences, Order Statistics, and Record Values, Hana is dedicated to advancing statistical knowledge. Her expertise extends to programming languages like Fortran, C++, and statistical analysis using SPSS, showcasing her versatile skill set.

🌟 Conclusion:

Hana Hussien Mohssen Abuznadah stands as a beacon of academic excellence and leadership in the realm of statistics. Her multifaceted career, extensive teaching experience, and impactful research underscore her significant contributions to the field of mathematics and statistics. 🎓📊🏆

📊 Citation Metrics (Google Scholar):

Citations by: All – 1030, Since 2018 – 875

h-index: All – 17, Since 2018 – 15

i10 index: All – 25, Since 2018 – 21

📖 Publications Top Note :

Numerical solution of traveling waves in chemical kinetics: time-fractional fishers equations paper publication in 2022 cite by 257

Exponentiated Pareto distribution: different method of estimations paper publication in September 2009 cite by 77

Novel computational and accurate numerical solutions of the modified Benjamin–Bona–Mahony (BBM) equation arising in the optical illusions field paper publication in 2001 cite by 74

Analysis and challenges of robust E-exams performance under COVID-19 paper publication in 2001 cite by 63

A Study on Mixture of Exponentiated Pareto and Exponential Distributions, INSInet Publication paper publication in 2010 cite by 37

Mathematical simulation of casson MHD flow through a permeable moving wedge with nonlinear chemical reaction and nonlinear thermal radiation paper publication in 2022 cite by 32

Moore–Gibson–Thompson thermoelasticity model with temperature-dependent properties for thermo-viscoelastic orthotropic solid cylinder of infinite length under a temperature pulse paper publication in 2009 cite by 29

Some characterizations of the exponentiated Gompertz distribution paper publication in 2014 cite by 29

Study on the applications of two analytical methods for the construction of traveling wave solutions of the modified equal width equation paper publication in 2020 cite by 28

Characterizations of the exponentiated Pareto distribution based on record values paper publication in 2008 cite by 27

Dr.Jose-Maria Montero l Extreme Value Theory | Best Researcher Award | 2042

Posted on 05/01/202405/01/2024 by ScienceFather

Dr.Jose-Maria Montero | Extreme Value Theory | Best Researcher Award

Prof. University of castilla-La Mancha, Spain

Dr.Jose-Maria Montero is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

Orcid profile

Google scholar

Research Funding as a Member of the Research Team

Economic Aspects of Meteorology

Funding: Spanish Institute of Meteorology, 1985-1986

Funded by: Instituto Nacional de Meteorología, España

Grant: €9,000

The Incorporation of the Peseta to the European Monetary System: A Quantitative Approach

Funding: Institute for Economic Studies, Spain, 1986

Funded by: Instituto de Estudios Económicos, España

Grant: €3,000

The Funding of Tourism in Spain

Funding: Spanish Ministry of Tourism, Transportation, and Communications, 1986-1987

Funded by: Ministerio de Turismo, Transportes y Comunicaciones de España

Grant: €18,000

The Impact of Meteorology on the Spanish Economy

Funding: Spanish Institute of Meteorology, 1986-1988

Funded by: Instituto Nacional de Meteorología, España

Grant: €36,000

The Structure of the Agrarian Farms in Spain: Agrarian Census, 1982

Funding: Spanish Ministry of Agriculture, Fisheries, and Food, 1986-1987

Funded by: Ministerio de Agricultura, Pesca y Alimentación de España

Grant: €24,000

📊 Citation Metrics (Google Scholar):

Citations by: All – 3797, Since 2018 – 1533

h-index: All – 31, Since 2018 – 20

i10 index: All – 85, Since 2018 – 40

📖 Publications Top Note :

Integration of DNA barcoding into an ongoing inventory of complex tropical biodiversity paper publication in 2009 cite by 400

Spatial and spatio-temporal geostatistical modeling and kriging paper publication in 2015 cite by 242

Usefulness of megestrol acetate in cancer cachexia and anorexia: a placebo-controlled study paper publication in 1992 cite by 132

A 3-year multicentre randomized controlled trial of etonogestrel-and levonorgestrel-releasing contraceptive implants, with non-randomized matched copper-intrauterine device … paper publication in 2015 cite by 125

The application of calcined natural dolomitic rock as a solid base catalyst in triglyceride transesterification for biodiesel synthesis paper publication in 2008 cite by 119

Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator paper publication in 2010 cite by 100

Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities paper publication in 2014 cite by 98

Air core and roping in hydrocyclones paper publication in 1986 cite by 81

Spatial modeling of stock market comovements paper publication in 2012 cite by 70

Trap-limited mobility in space-charge limited current in organic layers paper publication in 2009 cite by 63

Dr Haris Khurram | Computational Statistical Modeling

Posted on 09/12/2023 by ScienceFather

Dr Haris Khurram | Leading Researcher in Computational Statistical Modeling

Congratulations,Dr Haris Khurram on winning the esteemed Women Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Haris Khurram Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Academics:

PhD in Statistics, Bahauddin Zakariya University, Multan, 2016-2021, Thesis: Bayesian Non-Parametric Modelling.

M.Phil. in Statistics, Bahauddin Zakariya University, Multan, 2014-2016, Thesis: Identifying Continuous Probability Distributions.

Work:

Assistant Professor (Statistics), National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Pakistan (2021-present).

Lecturer (Statistics) at various institutions.

Taught in diverse departments: Information Technology, Commerce, Agriculture Technology, Soil Science, Forestry.

Admin and committee roles at National University.

Membership in Pakistan Institute of Statistical Training and Research.

International Engagements:

Presented papers at global conferences on Statistical Sciences, Neonatology, Disaster Risk Reduction, and more.

Editorial roles in various academic journals.

Reviewed papers for esteemed journals in statistics, public health, and medical sciences.

Awarded for Best Paper and Achievement in Disaster Risk Reduction.

Community Engagement:

Conducted workshops on Faculty Development, Outcome-Based Education, and Pedagogical Techniques.

Contributed to disaster risk reduction expos, survey statistic conferences, and workshops on curriculum design.

Computer Skills:

Proficient in MS-Office Suite, LaTeX, and various statistical software: R, SPSS, Minitab, E-Views, Stata, Mathematica, etc.

Interests:

Expertise and interest in computational statistical methods, survey sampling, Bayesian modeling, econometric analysis.

Application domains: Bio-Medical Science, Pharmaceutical Sciences, Genetics, Social Sciences.

Publications Top Note :

Predatory functional response and fitness parameters of Orius strigicollis Poppius when fed Bemisia tabaci and Trialeurodes vaporariorum as determined by age-stage, two-sex … paper published in 2015 cite by 20

Why Banks Need Adequate Capital Adequacy Ratio? A Study of Lending & Deposit Behaviors of Banking Sector of Pakistan paper published in 2018 cite by 14

Stock Market Forecasting Using the Random Forest and Deep Neural Network Models Before and During the COVID-19 Period paper published in 2022 cite by 6

Nutritional status and growth centiles using anthropometric measures of school-aged children and adolescents from Multan district paper published in 2022 cite by 5

Impact of Terrorism on Stock Market: A Case of South Asian Stock Markets paper published in 20196 cite by 4

Assessing Patient Satisfaction with Community Pharmacy Services: A Large Regional Study at Punjab, Pakistan paper published in 2023 cite by 3

Knowledge, attitudes and practices of pharmacogenomics among senior pharmacy students: a cross sectional study from Punjab, Pakistan paper published in 2022 cite by 3

Assessment of health-related quality of life in hypertensive hemodialysis patients paper published in 2022 cite by 3

Disposal practices of expired and unused medications among households in Punjab, Pakistan paper published in 2023 cite by 2

Antibiotic use: A cross-sectional survey assessing the knowledge, attitudes, and practices amongst students of Punjab, Pakistan paper published in 2022 cite by 2

📊 Citation Metrics (Google Scholar):

Citations by: All – 61, Since 2018 – 61
h-index: All – 4, Since 2018 – 4
i10 index: All – 2, Since 2018 – 2

Dr Roma Jandarov | Wilcoxon signed rank test

Posted on 08/12/2023 by ScienceFather

Dr Roma Jandarov | Leading Researcher in Wilcoxon signed rank test

Congratulations,Dr Roma Jandarov on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Roma Jandarov Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Scopus Profile

Education

PhD in, statistics ,2007-2012

Position: Research Assistant

Department: Biostatistics

Duties: Contributed to method development at UW Center for Clear Air Research, focusing on cardiovascular health effects of air pollution with Professors Adam Szpiro, Lianne Sheppard, Paul Sampson.

Pennsylvania State University, University Park, Pennsylvania, USA

Years: 2009 – 2012

Position: Graduate Lecturer

Department: Statistics

Duties: Worked on statistical inference for gravity time series SIR models for disease dynamics as part of a Bill and Melinda Gates Foundation project with Professors Murali Haran and Ottar Bjornstad.

Years: 2009 – 2010

Position: Graduate Teaching Assistant

Department: Statistics

Duties: Taught statistics courses.

Years: 2007 – 2009

Position: Teaching Assistant

Department: Statistics

Duties: Assisted instructors in preparing and teaching statistics courses.

Publications Top Note :

Assessment of indoor bioaerosol exposure using direct-reading versus traditional methods-potential application to home health care.

A Novel Simulator for Teaching Endobronchial Ultrasound-guided Needle Biopsy. paper published in 2023 Jul

Complex Morphologic Analysis of Cerebral Aneurysms Through the Novel Use of Fractal Dimension as a Predictor of Rupture Status: A Proof of Concept Study. paper published in 2023 Jul

Durvalumab plus Cetuximab in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: An Open-label, Nonrandomized, Phase II Clinical Trial paper published in 2023 May

Upregulation of acid ceramidase contributes to tumor progression in tuberous sclerosis complex. paper published in 2023 May

The Associations of Trans-3′-Hydroxy Cotinine, Cotinine, and the Nicotine Metabolite Ratio in Pediatric Patients with Tobacco Smoke Exposure paper published in 2023 Apr

Sources of Tobacco Smoke Exposure and Their Associations With Serum Cotinine Levels Among US Children and Adolescents paper published in 2023 Apr

A Hands-Free, Oral Positive Expiratory Pressure Device for Exertional Dyspnea and Desaturation in COPD. paper published in 2022 Sep 23

Distinguishing Exposure to Secondhand and Thirdhand Tobacco Smoke among U.S. Children Using Machine Learning: NHANES 2013-2016 paper published in 2023 Feb 7

Carcinogenic and tobacco smoke-derived particulate matter biomarker uptake and associated healthcare patterns among children. paper published in 2023 Jan

Dr Fedaa Abd Alhamid | anova

Posted on 08/12/202308/12/2023 by ScienceFather

Dr. Fedaa Abd Alhamid |Leading Researcher in anova

Congratulations,Dr Fedaa Abd Alhamid on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Fedaa Abd Alhamid Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

FEDAA TAWFIQ ABD-ALHAMID

Department of Architecture/Faculty of Architecture & Design
Al-Zaytoonah University of Jordan, Amman, Jordan
Phone: 0796879306
Email: Fedaa.abdalhameed@yahoo.com

Personal Data

Date of Birth: April 28, 1988

Nationality: Jordanian

Education

PhD in Architecture/ Energy & Sustainability, 2020
University of Nottingham
Thesis Title: Development of a View Perception Quantifying Method for a Holistic Window Performance Assessment Using a Virtual Environment

Employment

Academic Positions

Assistant Professor
Al-Zaytoonah University of Jordan, Faculty of Architecture and Design, Department of Architectural Engineering, Jordan, Amman
(Since December 13, 2020 – Current)

Research Interests

Green and Sustainable Architecture

Buildings Occupants’ Health and Wellbeing

View Perception

Climate Change Adaptation/Mitigation Strategies and Planning

Energy Efficient Buildings

Architectural Design and Aesthetics

Membership in Scientific Societies and Associations

Reviewer in Energy and Building Journal since 2020

Member of Jordan Green Building Council since 2013

Honors and Awards

Internship in energy efficient buildings and building simulation, University of Innsbruck, Innsbruck, Austria, 2014

Teaching Experience

Undergraduate Courses

Architectural Design

Building Construction

Landscape Architecture

Freehand Drawing and Architecture Communication Skills

Architectural and Engineering Drawing

Architecture and Environmental Control

Geometry and Proportion in Architecture

Publications Top Note :

Developing an Innovative Method for Visual Perception Evaluation in a Physical-Based Virtual Environment paper published in 2019 cite by 86

Evaluating the impact of viewing location on view perception using a virtual environment paper published in 2020 cite by 49

Intelligent windows for electricity generation: A technologies review paper published in 2020 cite by 21

Virtual reality as a tool for evaluating user acceptance of view clarity through ETFE double-skin façades paper published in 2021 cite by 15

Quantifying window view quality: A review on view perception assessment and representation methodspaper published in 2023 cite by 5

Impact of Passive Techniques on Thermal Behavior of Emergency Shelters paper published in 2021 cite by 5

Preliminary investigation on the human response to patterned chromatic glazing paper published in 2023 cite by 1

Assessment of Window Size and Layout Impact on a View Quality Perception in a Virtual Reality Environment paper published in 2023

📊 Citation Metrics (Google Scholar):

Citations by: All – 182, Since 2018 – 182

h-index: All – 5, Since 2018 – 5

i10 index: All – 4, Since 2018 – 4

Introduction to statistical methods and data analysis

Posted on 07/10/202311/10/2023 by ScienceFather

Introduction to statistical methods and data analysis

The International Conference on Statistical Methods for Analyzing Engineering Data stands as a prominent nexus for the convergence of statistical methodologies and data analysis techniques within the realm of engineering. This esteemed conference brings together experts, researchers, and practitioners to explore innovative statistical approaches that drive advancements in engineering systems and data analysis. At the heart of this gathering is a shared commitment to harnessing the power of statistics to optimize, refine, and revolutionize engineering practices.

Multivariate Statistical Analysis in Engineering

Dive into the world of multivariate statistical methods to uncover hidden patterns, relationships, and correlations within complex engineering data sets, allowing for informed decision-making and process optimization.

Quality Control and Process Monitoring

Examine statistical techniques for monitoring and improving the quality of manufacturing processes, ensuring consistency, minimizing defects, and enhancing overall product performance.

Statistical Reliability and Risk Assessment

Explore the application of statistical tools to assess the reliability and risk associated with engineering systems, guiding maintenance strategies and mitigating potential failures.

Design and Analysis of Experiments (DoE)

Delve into the principles of experimental design and statistical analysis to optimize product designs, enhance manufacturing processes, and identify factors influencing engineering outcomes.

Big Data Analytics in Engineering

Investigate how statistical methods and data analysis can be tailored to analyze and extract valuable insights from large-scale engineering datasets, enabling data-driven decision-making and predictive modeling.

Hypothesis testing

Posted on 07/10/202311/10/2023 by ScienceFather

Hypothesis testing

The International Conference on Statistical Methods for Analyzing Engineering Data provides a crucial forum for engineers, statisticians, and researchers to converge and explore the intricate realm of hypothesis testing within the context of engineering data analysis. This conference aims to facilitate the exchange of knowledge, methodologies, and best practices for rigorous hypothesis testing, ultimately enhancing the reliability and effectiveness of engineering systems and processes.

Hypothesis Testing in Quality Control

Delve into the application of hypothesis testing techniques to assess and maintain the quality of engineering products and processes, ensuring compliance with industry standards and specifications.

Reliability Hypothesis Testing

Explore methods for testing hypotheses related to the reliability and durability of engineering systems, with a focus on accelerated life testing and reliability growth models.

Bayesian Hypothesis Testing

Investigate the integration of Bayesian statistical methods in hypothesis testing within engineering contexts, allowing for more robust inference and uncertainty quantification.

Nonparametric Hypothesis Testing

Discuss techniques for hypothesis testing when assumptions about data distributions are not met, addressing the challenges of non-normal and non-parametric data in engineering applications.

Hypothesis Testing in Experimental Design

Examine the role of hypothesis testing in the design of experiments, including strategies for optimizing experimental layouts and interpreting results effectively.

Estimation and hypothesis testing

Posted on 07/10/202311/10/2023 by ScienceFather

Estimation and hypothesis testing

The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from around the world, dedicated to advancing the application of statistical methods in engineering. This conference serves as a vital platform for sharing insights, innovations, and best practices in the realm of statistical analysis within the engineering domain. Participants engage in meaningful discussions, exchange ideas, and collaborate to solve complex engineering challenges using cutting-edge statistical techniques.

Design of Experiments (DOE) in Engineering

Explore the latest developments in experimental design methodologies tailored for engineering applications, with a focus on optimizing processes, reducing variability, and enhancing product quality.

Reliability Analysis and Failure Prediction

Delve into statistical methods for assessing and predicting the reliability of engineering systems, ensuring their longevity, and minimizing unplanned downtime.

Quality Control and Six Sigma in Engineering

Discuss the integration of statistical tools like control charts, process capability analysis, and Six Sigma methodologies to enhance the quality and efficiency of engineering processes.

Big Data Analytics for Engineering

Examine how advanced statistical techniques, including machine learning and data mining, are applied to analyze massive datasets in engineering for improved decision-making and predictive modeling.

Bayesian Statistics in Engineering

Explore the application of Bayesian statistical methods in engineering, enabling more robust parameter estimation, uncertainty quantification, and decision-making in complex systems.

Introduction to statistics and probability

Posted on 07/10/202311/10/2023 by ScienceFather

Introduction to statistics and probability

The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the realm of statistical methodologies applied to engineering data analysis. These awards recognize the innovators and researchers who have made significant strides in advancing the integration of statistics into engineering practices, fostering excellence in the field.

Advanced Data Mining and Machine Learning in Engineering

Recognizing research that utilizes cutting-edge data mining and machine learning techniques to extract valuable insights from vast engineering datasets.

Robust Statistical Modeling in Engineering

Celebrating innovative approaches in developing robust statistical models that can handle complex, noisy, and real-world engineering data.

Reliability and Failure Analysis

Honoring research in statistical methods for assessing reliability, conducting failure analysis, and enhancing the durability of engineering systems and components.

Statistical Quality Control and Process Optimization

Acknowledging contributions to statistical quality control methodologies and process optimization techniques to enhance product quality and performance.

Bayesian Approaches for Engineering Data Analysis

Recognizing outstanding work in applying Bayesian statistical methods to make informed decisions, quantify uncertainties, and model intricate engineering systems.

Autocorrelation, trend analysis, and forecasting

Autocorrelation, trend analysis, and forecasting This conference is dedicated to advancing the knowledge and application of statistical methodologies in the domain of engineering data analysis. It provides a platform for

Introduction to statistics and probability

Introduction to statistics and probability The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the

Descriptive statistics

Descriptive statistic The International Research Awards on Statistical Methods for Analyzing Engineering Data serve as a prestigious platform recognizing and promoting groundbreaking research in the field of statistical analysis applied

Probability distributions

Probability distributions This conference serves as a platform for the exchange of cutting-edge ideas and methodologies for analyzing and interpreting data in the realm of engineering, with a particular focus

Estimation and hypothesis testing

Estimation and hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from around the world, dedicated to advancing

Design of experiments (DOE)

Design of experiments (DOE) The International Conference on Statistical Methods for Analyzing Engineering Data is a premier gathering of researchers, engineers, and statisticians dedicated to advancing the application of statistical

Non-parametric statistical methods

Non-parametric statistical methods The International Conference on Statistical Methods for Analyzing Engineering Data (ICSMAED) is a prestigious event that brings together leading experts, researchers, and practitioners from the field of

Hypothesis testing

Hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data provides a crucial forum for engineers, statisticians, and researchers to converge and explore the intricate realm of hypothesis

Regression analysis

Regression analysis The International Conference on Statistical Methods for Analyzing Engineering Data is a distinguished gathering that brings together experts, researchers, and professionals from the realms of engineering and statistics.

Probability theory and distributions

Probability theory and distributions The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from the engineering and statistical communities. This

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