Titlebook: Statistics for Data Science and Policy Analysis; Azizur Rahman Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 Applied

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On Propensity Score Methodologyodology is one way to determine the effects of, and their probabilities, given a vector of observed covariates, which is particularly popular in the fields of medical, pharmaceutical and social sciences. However, there are mixed views for the best methodologies to use and an overall understanding of

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Modeling for Prospect of Aman Rice Production in Dhaka Division, Bangladeshain harvest crops and second largest rice crop in the country in respect to the volume of production. The main purpose of this study is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model by Box-Jenkin’s approach that could be used to forecast the production of Aman Rice in Dhaka

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Policy into Practice; Statistics the Forgotten Gatekeeperts by changing land use or management practices to store carbon. The Carbon Farming Futures (CCF) program ran from 2012 to 2017 to identify where farmers can boost productivity and profitability; improve soil and reduce greenhouse gas emissions. The Action on The Ground program was one component of

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Detection of Vegetation in Environmental Repeat Photography: A New Algorithmic Approach in Data Scieresearchers are equipped enough to come up with algorithms accomplishing automated system for environment monitoring. This paper proposes an algorithm which can be used to observe the change in vegetation utilizing the images of a particular site. This would help the environment experts to put on th

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Can Data Fusion Increase the Performance of Action Detection in the Dark?nal cues about the actions like if we know car and man, we can short-list actions involving car and man, i.e., driving, opening the car door etc. Therefore, such data can play a pivotal role in modelling and recognizing human actions. However, the visual context during night is often badly disrupted

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