{"product_id":"data-science-and-sdgs-challenges-opportunities-and-realities-9789811619182","title":"Data Science and SDGs: Challenges, Opportunities and Realities","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7\u003csup\u003eth\u003c\/sup\u003e International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. \u003c\/p\u003e  \u003cp\u003eThe contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eChapter 1:\u003c\/b\u003e SDGs in Bangladesh: Implementation Challenges \u0026amp; Way Forward.- \u003cb\u003eChapter 2:\u003c\/b\u003e Some Models and Their Extensions for Longitudinal Analyses.- \u003cb\u003eChapter 3:\u003c\/b\u003e Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis.- \u003cb\u003eChapter 4:\u003c\/b\u003e Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh.- \u003cb\u003eChapter 5:\u003c\/b\u003e Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model.- \u003cb\u003eChapter 6:\u003c\/b\u003e Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh.- \u003cb\u003eChapter 7:\u003c\/b\u003e Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables.- \u003cb\u003eChapter 8:\u003c\/b\u003e Experimental Designs for fMRI Studies in Small Samples.- \u003cb\u003eChapter 9:\u003c\/b\u003e Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum.- \u003cb\u003eChapter 10:\u003c\/b\u003e Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients.- \u003cb\u003eChapter 11:\u003c\/b\u003e Identification of Outliers in Gene Expression Data.- \u003cb\u003eChapter 12:\u003c\/b\u003e Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh.- \u003cb\u003eChapter 13:\u003c\/b\u003e Statistical Analysis of Various Optimal Latin Hypercube Designs.- \u003cb\u003eChapter 14:\u003c\/b\u003e Erlang Loss Formulas: An Elementary Derivation.- \u003cb\u003eChapter 15:\u003c\/b\u003e Machine Learning, Regression and Numerical Optimization.\u003c\/p\u003e","brand":"Springer Verlag, Singapore","offers":[{"title":"Default Title","offer_id":52091889910103,"sku":"9789811619182","price":999.99,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bookcurl.com\/products\/data-science-and-sdgs-challenges-opportunities-and-realities-9789811619182","provider":"Book Curl","version":"1.0","type":"link"}