LEADER 04339nam 2200577 450 001 9910495158303321 005 20230503131743.0 010 $a981-16-1919-0 024 7 $a10.1007/978-981-16-1919-9 035 $a(CKB)4100000011999113 035 $a(DE-He213)978-981-16-1919-9 035 $a(MiAaPQ)EBC6700088 035 $a(Au-PeEL)EBL6700088 035 $a(PPN)257355871 035 $a(EXLCZ)994100000011999113 100 $a20220428d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aData science and SDGs $echallenges, opportunities and realities /$fBikas Kumar Sinha, Nurul Haque Mollah, editors 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XXII, 197 p. 45 illus., 32 illus. in color.) 311 $a981-16-1918-2 327 $aChapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward -- Chapter 2: Some Models and Their Extensions for Longitudinal Analyses -- Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis -- Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh -- Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model -- Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh -- Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables -- Chapter 8: Experimental Designs for fMRI Studies in Small Samples -- Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum -- Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients -- Chapter 11: Identification of Outliers in Gene Expression Data -- Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh -- Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs -- Chapter 14: Erlang Loss Formulas: An Elementary Derivation -- Chapter 15: Machine Learning, Regression and Numerical Optimization. 330 $aThe 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 7th 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. The 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. 606 $aEstadística$2thub 606 $aEconomia$2thub 606 $aDesenvolupament sostenible$2thub 606 $aEconomics$xStatistical methods$vCongresses 606 $aSustainable development$xStatistical methods$vCongresses 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 7$aEstadística 615 7$aEconomia 615 7$aDesenvolupament sostenible 615 0$aEconomics$xStatistical methods 615 0$aSustainable development$xStatistical methods 676 $a330.015195 702 $aSinha$b Bikas Kumar 702 $aMollah$b Nurul Haque 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495158303321 996 $aData Science and SDGs$91894578 997 $aUNINA