Download or read book Matrix of Statistical Activities 2010 2016 written by and published by . This book was released on 2010 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 2013 Social Accounting Matrix for Uganda A Nexus Project SAM written by Randriamamonjy, Josée and published by Intl Food Policy Res Inst. This book was released on 2017-11-17 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this paper is used to document the different steps followed to construct the 2013 Social Accounting Matrix for Uganda. The SAM is an extension of the Standard Nexus Structure. It consists of 55 activity sectors, 55 commodity sectors, three types of factors of production: labor (rural and urban disaggregated by level of education), land, and capital (disaggregated by crops, livestock, mining and other sectors). The household sector is divided spatially into urban and rural households. Rural households are further disaggregated into households that earn crop and/or livestock incomes (i.e., farm households) and those that do no earn incomes from either source (i.e., nonfarm households). Households are further disaggregated into per capita expenditure quintiles. This SAM allows analyzing issues at the detailed level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

Download or read book Matrices for statistics written by M. J. Healy and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book First regionalized social accounting matrix for Egypt A 2015 nexus project social accounting matrix written by Randriamamonjy, Josée and published by Intl Food Policy Res Inst. This book was released on 2019-09-07 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Central Agency for Public Mobilization and Statistics (CAPMAS) is pleased to present the first regionalized social accounting matrix (SAM) for Egypt. This SAM marks a major milestone in “localizing” development research and policy in Egypt and is expected to be most valuable for the development, implementation, and assessment of Egypt’s national and local development plans, like Egypt’s Sustainable Development Strategy 2030. In addition to standard SAMs, which combine many national datasets from institutions such as Central Banks, Ministries of Finance and Agriculture, and Statistical Bureaus, this regionalized SAM makes extensive use of sub-national level information such as the Economic Survey and Household Income and Expenditure Survey (HIECS) produced by CAPMAS, regional GDP estimates by the Ministry of Planning, Monitoring and Administrative Reform, and the Agricultural Bulletins with information at the Governorate level produced by the Ministry of Agriculture and Land Reclamation. With this data it becomes possible to provide a detailed, socioeconomic status update for different regions within Egypt. As such, the disaggregated SAM allows for analyzing developmental issues at regional level and to better understand the potential impacts of policy changes at the local level.

Download or read book 2013 Social Accounting Matrix for Ghana A Nexus project SAM written by Ghana Statistical Services, Accra, Ghana and published by Intl Food Policy Res Inst. This book was released on 2017-11-17 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this paper is used to document the different steps followed to construct the 2013 Social Accounting Matrix for Ghana. The SAM is an extension of the Standard Nexus Structure. It consists of 55 activity sectors, 56 commodity sectors, three types of factors of production: labor (rural and urban disaggregated by level of education), land, and capital (disaggregated by crops, livestock, mining and other sectors). The household sector is divided spatially into urban and rural households. Rural households are further disaggregated into households that earn crop and/or livestock incomes (i.e., farm households) and those that do no earn incomes from either source (i.e., nonfarm households). Households are further disaggregated into per capita expenditure quintiles. This SAM allows analyzing issues at the detailed level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

Download or read book Patterned Random Matrices written by Arup Bose and published by CRC Press. This book was released on 2018-05-23 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the method of moments and normal approximation with rudimentary combinatorics for support. Some elementary results from matrix theory are also used. By stretching the moment arguments, we also have a brush with the intriguing but difficult concepts of joint convergence of sequences of random matrices and its ramifications. This book covers the Wigner matrix, the sample covariance matrix, the Toeplitz matrix, the Hankel matrix, the sample autocovariance matrix and the k-Circulant matrices. Quick and simple proofs of their LSDs are provided and it is shown how the semi-circle law and the March enko-Pastur law arise as the LSDs of the first two matrices. Extending the basic approach, we also establish interesting limits for some triangular matrices, band matrices, balanced matrices, and the sample autocovariance matrix. We also study the joint convergence of several patterned matrices, and show that independent Wigner matrices converge jointly and are asymptotically free of other patterned matrices. Arup Bose is a Professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in Mathematical Statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been the Editor of Sankyhā for several years and has been on the editorial board of several other journals. He is a Fellow of the Institute of Mathematical Statistics, USA and all three national science academies of India, as well as the recipient of the S.S. Bhatnagar Award and the C.R. Rao Award. His forthcoming books are the monograph, Large Covariance and Autocovariance Matrices (with Monika Bhattacharjee), to be published by Chapman & Hall/CRC Press, and a graduate text, U-statistics, M-estimates and Resampling (with Snigdhansu Chatterjee), to be published by Hindustan Book Agency.

Download or read book A 2019 Nexus Social Accounting Matrix for Egypt written by Serag, Eman and published by Intl Food Policy Res Inst. This book was released on 2021-09-02 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Central Agency for Public Mobilization and Statistics (CAPMAS) is pleased to present an updated social accounting matrix (SAM) for Egypt. This SAM combines information from national datasets from many institutions, including the Central Bank, the Ministries of Finance and Agriculture, and various statistical bureaus. It also makes extensive use of data from the Economic Survey and Household Income and Expenditure Survey (HIECS), which is produced by CAPMAS. With this data it becomes possible to provide a detailed update of the socioeconomic status of Egypt. The SAM also allows for more timely analysis of developmental issues and a better understanding the potential economic impacts of policy changes. The SAM is the main dataset used for economywide modelling of policy scenarios and simulations. Such modeling has proven to be a powerful evidence-based analytical tool for informing policy making and for assessing the impact of different policy interventions, especially during the COVID-19 crisis.

Download or read book Matrices Statistics and Big Data written by S. Ejaz Ahmed and published by Springer. This book was released on 2020-08-14 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016. The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.

Download or read book 2014 Social Accounting Matrix for Lao PDR A Nexus Project SAM written by Pradesha, Angga and published by Intl Food Policy Res Inst. This book was released on 2021-12-28 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2014 Laos Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Download or read book MATRICES FOR STATISTICS written by and published by . This book was released on 1986 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-04-23 with total page 2188 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Download or read book Hybrid Biomolecular Modeling written by Slavica Jonic and published by Frontiers Media SA. This book was released on 2019-01-24 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models of biomolecular structure and dynamics are often obtained by combining simulation or prediction approaches (e.g., comparative modeling, Molecular Dynamics (MD) simulations, Normal Mode Analysis (NMA), etc.) with experimental approaches (e.g., Nuclear Magnetic Resonance (NMR), X-ray crystallography, Small-Angle X-ray Scattering (SAXS), Electron Microscopy (EM), etc.). Such hybrid modeling extends the capabilities of experimental techniques, by enriching structural information and facilitating dynamics studies of biomolecules. This eBook contains articles on methodological developments, applications, and challenges of hybrid biomolecular modeling that have been collected in the framework of the Frontiers Research Topic entitled “Hybrid Biomolecular Modeling”.

Download or read book Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging Methods Applications written by Xiaoying Tang and published by Frontiers Media SA. This book was released on 2019-08-22 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Anatomy (CA) is an emerging discipline aiming to understand anatomy by utilizing a comprehensive set of mathematical tools. CA focuses on providing precise statistical encodings of anatomy with direct application to a broad range of biological and medical settings. During the past two decades, there has been an ever-increasing pace in the development of neuroimaging techniques, delivering in vivo information on the anatomy and physiological signals of different human organs through a variety of imaging modalities such as MRI, x-ray, CT, and PET. These multi-modality medical images provide valuable data for accurate interpretation and estimation of various biological parameters such as anatomical labels, disease types, cognitive states, functional connectivity between distinct anatomical regions, as well as activation responses to specific stimuli. In the era of big neuroimaging data, Bayes’ theorem provides a powerful tool to deliver statistical conclusions by combining the current information and prior experience. When sufficiently good data is available, Bayes’ theorem can utilize it fully and provide statistical inferences/estimations with the least error rate. Bayes’ theorem arose roughly three hundred years ago and has seen extensive application in many fields of science and technology, including recent neuroimaging, ever since. The last fifteen years have seen a great deal of success in the application of Bayes’ theorem to the field of CA and neuroimaging. That said, given that the power and success of Bayes’ rule largely depends on the validity of its probabilistic inputs, it is still a challenge to perform Bayesian estimation and inference on the typically noisy neuroimaging data of the real world. We assembled contributions focusing on recent developments in CA and neuroimaging through Bayesian estimation and inference, in terms of both methodologies and applications. It is anticipated that the articles in this Research Topic will provide a greater insight into the field of Bayesian imaging analysis.

Download or read book Business and Consumer Analytics New Ideas written by Pablo Moscato and published by Springer. This book was released on 2019-05-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Download or read book New Ideas in Quantitative Psychology and Measurement written by Ioannis Tsaousis and published by Frontiers Media SA. This book was released on 2024-09-12 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Validity of scores is the ultimate goal of measurement. The concept of measurement validity is severely challenged for methodological and statistical decisions during the assessment and analysis process. Thus, the present Research Topic is proposed as a means to provide new knowledge and ideas related to measurement. It is designed to address issues of measurement reliability and validity, new advances in the measurement of these concepts and the methodologies involved to attain them. The use of new software and routines will target at making accessible these concepts so that the papers will be easily accessible by a broad audience of researchers in the social sciences. The goal of the present proposal is to provide new knowledge in psychometrics. Topics of interest are the following but are not limited to those. Any work related to improving measurement is potentially of interest to this issue. Examples include confirmatory factor analysis, item response theory, measurement invariance, Bayesian applications of measurement, reliability in longitudinal designs, invariance in longitudinal and cross-sectional designs, parametric and non-parametric extension of item response models, analysis of response times, analyses of aberrant behavior, systematic measurement error, the roles of personal characteristics in measurement, scaling systems and evaluation, item position effects, analysis of distractors, detection of cheating and guessing, nested model applications of the above concepts, latent class and latent profile models, cognitive diagnostic models, classification models, computerized adaptive testing, multistage testing, cross-validation, simulations of all the above, power analyses, extension of descriptive fit indices, analysis of response vectors, etc. Applications of the above concepts and use of specific software routines is especially encouraged.

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Download or read book Handbook of Statistical Genomics written by David J. Balding and published by John Wiley & Sons. This book was released on 2019-09-10 with total page 1223 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.