Buch, Englisch, 197 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 500 g
Challenges, Opportunities and Realities
Buch, Englisch, 197 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 500 g
ISBN: 978-981-1619-18-2
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 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.