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Mobile biometrics
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ISBN: 1523112883 1785610961 Year: 2017 Publisher: Herts, England The Institution of Engineering and Technology

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Abstract

La biometría móvil, el uso de características físicas y / o de comportamiento de los humanos para permitir su reconocimiento por teléfonos móviles / inteligentes, tiene como objetivo lograr la funcionalidad y la robustez convencionales al mismo tiempo que respalda la portabilidad y la movilidad, brindando una mayor conveniencia y oportunidad para su implementación en una amplia gama. de entornos operativos, desde aplicaciones para consumidores hasta aplicación de la ley. Pero lograr estos objetivos conlleva nuevos desafíos, como problemas con el consumo de energía, la complejidad del algoritmo, las limitaciones de la memoria del dispositivo, los cambios frecuentes en el entorno operativo, la seguridad, la durabilidad, la confiabilidad y la conectividad. Mobile Biometrics proporciona una encuesta oportuna del estado de la investigación y los desarrollos en esta área de rápido crecimiento.


Periodical
Biometrics bulletin.
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ISSN: 23261439 Year: 1945 Publisher: [Washington, D.C.] : Biometrics Section, American Statistical Association,

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Book
Statistical Modelling and Risk Analysis : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022
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ISBN: 3031398645 Year: 2023 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.


Periodical
Biometrics : journal of the International Biometric Society.
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ISSN: 15410420 0006341X Year: 1947 Publisher: Malden, Mass. : Blackwell Publishers

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Biometrics is a scientific journal emphasizing the role of statistics and mathematics in the biological sciences. Its object is to promote and extend the use of mathematical and statistical methods in pure and applied biological sciences by describing developments in these methods and their applications in a form readily assimilable by experimental scientists. JSTOR provides a digital archive of the print version of Biometrics. The electronic version of Biometrics is available at http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=biom. Authorized users may be able to access the full text articles at this site.


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Phylogenetic trees and molecular evolution : a hands-on introduction with uncertainty quantification corrected
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ISBN: 9783031119583 9783031119576 9783031119590 Year: 2022 Publisher: Cham, Switzerland : Springer,

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This book serves as a brief introduction to phylogenetic trees and molecular evolution for biologists and biology students. It does so by presenting the main concepts in a variety of ways: first visually, then in a history, next in a dice game, and finally in simple equations. The content is primarily designed to introduce upper-level undergraduate and graduate students of biology to phylogenetic tree reconstruction and the underlying models of molecular evolution. A unique feature also of interest to experienced researchers is the emphasis on simple ways to quantify the uncertainty in the results more fully than is possible with standard methods.


Book
Modern biostatistical methods for evidence-based global health research
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ISBN: 3031110129 3031110110 Year: 2022 Publisher: Cham : Springer,

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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.


Book
Methods in epidemiology : population size estimation
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ISBN: 3030754642 3030754634 Year: 2021 Publisher: Cham, Switzerland : Springer,

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This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.


Book
Large Sample Techniques for Statistics
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ISBN: 9783030916954 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer


Multi
An introduction to statistics with Python : with applications in the life sciences
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ISBN: 9783030973711 9783030973704 9783030973728 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. .


Book
Modern Statistical Methods for Health Research
Authors: ---
ISBN: 3030724379 3030724360 Year: 2021 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.

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