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Mathematical statistics --- 303.6 --- 304.8 --- 303.3 --- Sampling (Statistics) --- 001.4222 --- Random sampling --- Statistics of sampling --- Statistics --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference. --- Steekproeftheorie. --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek). --- Sampling (Statistics). --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek) --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Steekproeftheorie

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The 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.

Statistics . --- Biostatistics. --- Database management. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Database Management. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Estadística --- Economia --- Desenvolupament sostenible --- Creixement sostenible --- Desenvolupament ecologicament sostenible --- Economia sostenible --- Sostenibilitat --- Creixement negatiu (Economia) --- Edificis sostenibles --- Agricultura sostenible --- Consum responsable --- Desenvolupament econòmic --- Economia circular --- Energia exosomàtica --- Pesca sostenible --- Petjada ecològica --- Reivindicacions socials --- Ciència econòmica --- Ciències econòmiques --- Economia política --- Ciències socials --- Antropologia econòmica --- Assignació de recursos --- Balança comercial --- Bancs --- Canvi --- Capital --- Capitalisme --- Classe acomodada --- Comerç --- Comunicacions --- Consum (Economia) --- Cooperativisme --- Cost --- Delictes econòmics --- Deute --- Deute públic --- Divisió del treball --- Dret i economia --- Economia ambiental --- Economia d'empresa --- Economia de guerra --- Economia de l'educació --- Economia de l'oferta --- Economia de la salut --- Economia de mercat --- Economia de postguerra --- Economia del benestar --- Economia del treball --- Economia domèstica --- Economia experimental --- Economia evolutiva --- Economia feixista --- Economia feminista --- Economia forense --- Economia institucional --- Economia internacional --- Economia monetària --- Economia regional --- Economia social --- Economia submergida --- Economia urbana --- Economistes --- Espai (Economia) --- Externalitats (Economia) --- Finances --- Finançament --- Indústria --- Lliure empresa --- Manufactures --- Mercantilisme --- Monopolis --- Multiplicador (Economia) --- Negocis --- Nombres índexs (Economia) --- Ocupació --- Oferta i demanda --- Població --- Política econòmica --- Preus --- Riquesa --- Risc (Economia) --- Salaris --- Sectors econòmics --- Sobreproducció --- Temps i comportament econòmic --- Transport --- Treball --- Valor (Economia) --- Escola de Chicago (Economia) --- Història econòmica --- Macroeconomia --- Microeconomia --- Periodisme econòmic --- Teoria econòmica --- Anàlisi estadística --- Control estadístic --- Informació estadística --- Matemàtica --- Allisament (Estadística) --- Anàlisi de regressió --- Anàlisi de variància --- Biometria --- Censos --- Correlació (Estadística) --- Presa de decisions (Estadística) --- Estadística comercial --- Estadística demogràfica --- Estadística econòmica --- Estadística educativa --- Estadística financera --- Estadística industrial --- Estadística matemàtica --- Estadística mèdica --- Mitjana (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Serveis estadístics --- Sondejos d'opinió --- Econometria --- Investigació quantitativa --- Ciutats sostenibles --- Economics --- Sustainable development --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable economic development --- Economic development --- Environmental aspects --- Neuroeconomia --- Economia. --- Desenvolupament sostenible.

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This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, Rao-Khatri product, mixed orthogonal arrays to name a few.

Statistics. --- Statistics and Computing/Statistics Programs. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Mathematical statistics. --- Economics --- Statistique --- Statistique mathématique --- Analysis of covariance. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Covariance analysis --- Regression analysis --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics .

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Social psychology --- Statistical science --- Operational research. Game theory --- Mathematical control systems --- Mathematical statistics --- Business policy --- Planning (firm) --- Personnel management --- Information systems --- Computer. Automation --- Recreation. Games. Sports. Corp. expression --- B2B (business-to-business) --- informatica --- mathematische modellen --- statistiek --- spellen --- leidinggeven --- strategisch beleid --- informatietechnologie --- econometrie --- operationeel onderzoek --- informatietheorie

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The 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.

Statistical science --- Biomathematics. Biometry. Biostatistics --- Information systems --- biomathematica --- biostatistiek --- statistiek --- biometrie --- database management