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Biometrics --- Biometry

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Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM),

Biometry --Data processing. --- WinBUGS. --- Biometry --- Biology --- Biology - General --- Health & Biological Sciences --- Data processing --- Data processing. --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Biomathematics --- Statistics

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Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Biometry --- Biométrie --- 519.2 --- 57.087.1 --- 519.2:57 --- binomiale verdeling --- biologie --- biometrie --- biostatistiek --- chi-kwadraattoetsen --- correlaties --- hypothesen testen --- lineaire regressie --- multipele regressie --- oefeningen --- oplossingen --- regressie-analyse --- variantieanalyse --- wiskunde --- Probability. Mathematical statistics --- Biometry. Statistical study and treatment of biological data --- Waarschijnlijkheidsrekening. Mathematische of wiskundige statistiek --- statistiek en biologie --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.2 Probability. Mathematical statistics --- Biométrie

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Biometrics, the science of using physical traits to identify individuals, is playing an increasing role in our security-conscious society and across the globe. Biometric authentication, or bioauthentication, systems are being used to secure everything from amusement parks to bank accounts to military installations. Yet developments in this field have not been matched by an equivalent improvement in the statistical methods for evaluating these systems. Compensating for this need, this unique text/reference provides a basic statistical methodology for practitioners and testers of bioauthentication devices, supplying a set of rigorous statistical methods for evaluating biometric authentication systems. This framework of methods can be extended and generalized for a wide range of applications and tests. This is the first single resource on statistical methods for estimation and comparison of the performance of biometric authentication systems. The book focuses on six common performance metrics: for each metric, statistical methods are derived for a single system that incorporates confidence intervals, hypothesis tests, sample size calculations, power calculations and prediction intervals. These methods are also extended to allow for the statistical comparison and evaluation of multiple systems for both independent and paired data. Topics and features: Provides a statistical methodology for the most common biometric performance metrics: failure to enroll (FTE), failure to acquire (FTA), false non-match rate (FNMR), false match rate (FMR), and receiver operating characteristic (ROC) curves Presents methods for the comparison of two or more biometric performance metrics Introduces a new bootstrap methodology for FMR and ROC curve estimation Supplies more than 120 examples, using publicly available biometric data where possible Discusses the addition of prediction intervals to the bioauthentication statistical toolset Describes sample-size and power calculations for FTE, FTA, FNMR and FMR Researchers, managers and decisions makers needing to compare biometric systems across a variety of metrics will find within this reference an invaluable set of statistical tools. Written for an upper-level undergraduate or master's level audience with a quantitative background, readers are also expected to have an understanding of the topics in a typical undergraduate statistics course. Dr. Michael E. Schuckers is Associate Professor of Statistics at St. Lawrence University, Canton, NY, and a member of the Center for Identification Technology Research.

Biometric identification. --- Biometry -- Data processing. --- Biometry. --- Biometric identification --- Biometry --- Electrical Engineering --- Biology - General --- Biology --- Electrical & Computer Engineering --- Health & Biological Sciences --- Engineering & Applied Sciences --- Evaluation --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Computer science. --- Computer science --- Biometrics (Biology). --- Computer mathematics. --- Computer Science. --- Biometrics. --- Math Applications in Computer Science. --- Computational Mathematics and Numerical Analysis. --- Mathematics. --- Biomathematics --- Statistics --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Informatics --- Science --- Mathematics --- Computer science—Mathematics.

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Fish travel in schools, birds migrate in flocks, honeybees swarm, and ants build trails. How and why do these collective behaviors occur? Exploring how coordinated group patterns emerge from individual interactions, Collective Animal Behavior reveals why animals produce group behaviors and examines their evolution across a range of species. Providing a synthesis of mathematical modeling, theoretical biology, and experimental work, David Sumpter investigates how animals move and arrive together, how they transfer information, how they make decisions and synchronize their activities, and how they build collective structures. Sumpter constructs a unified appreciation of how different group-living species coordinate their behaviors and why natural selection has produced these groups. For the first time, the book combines traditional approaches to behavioral ecology with ideas about self-organization and complex systems from physics and mathematics. Sumpter offers a guide for working with key models in this area along with case studies of their application, and he shows how ideas about animal behavior can be applied to understanding human social behavior. Containing a wealth of accessible examples as well as qualitative and quantitative features, Collective Animal Behavior will interest behavioral ecologists and all scientists studying complex systems.

Biomathematics. Biometry. Biostatistics --- Social behavior in animals --- Collective behavior --- Comportement social chez les animaux --- Comportement collectif --- Animal societies --- Social behavior in animals. --- Collective behavior. --- Animal societies. --- Behavior --- Social Behavior --- Behavior, Animal --- Behavior and Behavior Mechanisms --- Psychiatry and Psychology --- Zoology --- Animal Behavior --- Health & Biological Sciences --- Behavior, Collective --- Crowd behavior --- Crowds --- Mass behavior --- Psychology --- Human behavior --- Social action --- Social psychology --- Animal behavior