This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading international experts in the field of statistics, data science and policy evaluation. This book explores the theme of effective policy methods through the use of big data, accurate estimates and modern computing tools and statistical modelling.
Part I. Applied Statistics and Bayesian Modeling.-
1. Applied Bayesian
Modeling for Assessment of Interpretation Uncertainty in Spatial Domain.-
2.
Computing Robust Statistics via an EM Algorithm.-
3. Determining Risk Factors
of Antenatal Care Attendance and its Frequency in Bangladesh: An Application
of Count Regression Analysis.-
4. On Propensity Score Methodology.-
5. Asking
Good Questions to Understand Voluntary Enrolments in Mathematics.- PART II.
Agricultural Statistics and Policy Analysis.-
6. Modeling for Prospect of
Aman Rice Production in Dhaka Division, Bangladesh.-
7. Impacts and
Determinants of Adoption in River-based Tilapia Cage Culture.-
8. Policy into
Practice; Statistics the Forgotten Gatekeeper.-
9. Nutrient Loading in the
River Systems around Major Cities in Bangladesh: a Quantitative Estimate with
Consequences and Potential Recycling Options.-
10. Analysing Informal Milk
Supply Chains Data to Identify Seasonal Occurrences of Antibiotic Residues.-
Part III. Data Science and Image Processing Statistics.-
11. Detection of
Vegetation in Enviromental Repeat Photography: A New Algorithmic Approach in
Data Science.-
12. Can Data Fusion increase the Performance of Action
Detection in the Dark?.-
13. Data privacy and Security in the Cloud.-
14.
Evaluating Faster-RCNN and YOLOv3 for Target Detection in Multi-sensor Data.-
15. Wavelet-based Quantile Density Function Estimation under Random
Censorship.- Part IV. Health Statistics and Social Policy.-
16. Factors
Associated with Coronary Heart Disease among Elderly People in Different
Communities.-
17. Finite Mixture Modelling Approach to Identify Factors
Affecting Children ever Born for 15-49 Year Old Women in Asian Country.-
18.
An Assessment of Influencing Factors for Motherhood During Childhood in
Bangladesh Using Factor Analysis and Logistic Regression Methods.-
19. Effect
of Womens Education on Skilled Birth Attendants in South and South East
Asia: A Cross-country assessment on Sustainable Development Goal 3.1.- Part
V. SMALL Area Estimation and Spatial Microsimulation.-
20. Estimation of
Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern
District of Bangladesh: An Application of Small Area Estimation Method.-
21.
Using a Spatial Farm Microsimulation Model for Australia to Estimate the
Impact of an External Shock on Farmer Incomes.- Part VI. Business Analytics
and Managements Policy Analysis.- 22. A tax benefit model for policy
evaluation in Luxembourg: LuxTaxBen.-
23. Finding Significant Determinants
and Impacts of Farm-Level Integrated Pest Management Practices Using
Statistical Tools.-
24. Consumers Adoption Behavior Prediction through
Technology Acceptance Model and Machine Learning Models.-
25. Shaping the
Future of Multidimensional Project Management in Re-Tail Industry Using
Statistical and Big-Data Theories.-
26. Technical Efficiency and Value Chain
Analysis of Potato in a South-East Asian Country.-
27. Modelling and Analysis
of Computer Experiments using a Simple Pendulum Model.
Associate Professor Azizur Rahman, PhD, is an applied statistician and data scientist with expertise in both developing and applying novel methodologies, models and technologies. He is the Leader of Statistics and Data Mining Research Group in the Faculty of Business, Justice and Behavioural Sciences at the Charles Sturt University (CSU). Prof. Rahman is able to assist in understanding multi-disciplinary research issues within various fields including how to understand the individual activities which occur within very complex scientific, behavioural, socio-economic and ecological systems.
He develops "alternative methods in microsimulation modelling technologies" which are very useful tools to socioeconomic policy analysis and evaluation. His 2016 book has contributed significantly to the field of small area estimation and microsimulation modelling. Prof. Rahman's research interests encompass issues in simple to multi-facet analyses in various fields ranging from the mathematical sciences to the law and legal studies. He has more than 100 scholarly publications including a few books. Prof. Rahmans research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM) and Sustaining Regions. He obtained several awards including the SOCM Research Excellence Award 2018 and the CSU-RED Achievement Award 2019.
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