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La moitié du temps imparti pour atteindre les objectifs de développement durable se sera bientôt écoulée, et les plus pauvres et les plus vulnérables risquent de se retrouver laissés pour compte en raison d'un manque cruel de données. Le Rapport de PARIS21 sur le soutien des partenaires à la statistique 2022 attire l'attention sur l'insuffisance du financement des données et de la statistique, une insuffisance qui s'est aggravée en 2020 en partie seulement à cause de la pandémie de COVID-19.
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A pesar de que ya casi hemos alcanzado el punto intermedio de los Objetivos de Desarrollo Sostenible de los Objetivos de Desarrollo Sostenible, existe una carencia de datos considerable que amenaza con dejar atrás a la población más pobre y vulnerable. El Informe de PARIS21 sobre el Apoyo de los Socios a las Estadísticas alerta sobre aquellos déficits de financiación de datos y estadísticas que aumentaron en 2020, y señala que la pandemia de COVID-19 es solo una de las causas que propiciaron este aumento. Visto el empeoramiento del desarrollo mundial, así como el creciente número de amenazas mundiales complejas, es preciso que los líderes reiteren su promesa de apoyar la elaboración de datos y estadísticas, pues son esenciales para poder formular políticas eficaces y con gran capacidad de impacto. El Informe de PARIS21 sobre el Apoyo de los Socios a las Estadísticas es el informe insignia del Consorcio y constituye el análisis anual más completo de los flujos financieros de los donantes para datos y estadísticas. Esta edición de 2022 pone de manifiesto, por primera vez, las repercusiones que la crisis de COVID-19 ha causado en la financiación destinada a las estadísticas; asimismo, defiende que es preciso volver a poner el foco de atención en los datos y las estadísticas, para ser capaces de superar las crisis que depara el futuro.
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Twenty-three major databases containing historical longitudinal population data are presented and discussed in this volume, focusing on their aims, content, design, and structure. Some of these databases are based on pure longitudinal sources, such as population registers that continuously observe and record demographic events, including migration and family and household composition. Other databases are family reconstitutions, based on birth, marriage and death records. The third and last category consists of semi-longitudinal databases, that combine, for instance, civil records and censuses and/ or tax registers. The volume traces the origins of historical longitudinal databases from the 1970s and discusses their expansion worldwide, in terms of sources and hard- and software. The contributions highlight the unique genesis and common developmental arcs of these databases, which are rooted in the fields of quantitative history, social and demographic history, and the history of ordinary people. The importance of these databases in advancing knowledge and insights in various disciplines is emphasized and demonstrated, along with the challenges and opportunities they face. The collection of technical descriptions of these databases represents the most comprehensive and up-to-date overview of large database with longitudinal micro-data on historical populations. It includes descriptions of databases from Europe, North America, East-Asia, Australia, South-Africa and Suriname. Technical details, in terms of data entry, cleaning, standardization and record linkage are meticulously documented. The volume is a must-have for all scholars in the field of historical life course studies.
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Cet ouvrage est le premier ouvrage francophone sur le traitement et les analyses statistiques spécifiquement appliquées aux Sciences du Langage. Il s’adresse aux nombreux universitaires et professionnels travaillant autour de la question du langage. L’ouvrage est constitué d’une première partie sur le traitement des données issues de l’oral et de l’écrit et d’une seconde partie présentant différentes méthodes d'analyse statistique. Ces différentes analyses seront illustrées à travers des exemples concrets en sciences du langage et feront l’objet d’une démonstration « pas à pas » sur le logiciel R. Pour que ces analyses puissent être reproduites de manière autonome, plusieurs jeux de données seront mis à disposition des lecteurs et lectrices et une partie introductive sera consacrée à la prise en main du logiciel R
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This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications. Probability Foundations for Engineers, Second Edition continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables. Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions.
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"To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals that are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals that have previously had a course or two in statistics will also find the content familiar. This book can also serve as a bridge between professionals that understand statistics and want to learn how to perform analyses on natural resources data in R"--
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