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Sampling (Statistics) --- Mathematical statistics --- Échantillonnage. --- Statistique mathématique --- Surveys. --- Enquêtes. --- Census. --- Sampling (Statistics). --- Basic Sciences. Statistics --- Probability Theory, Sampling Theory. --- Census --- Census of population --- Population --- Statistics --- Government questionnaires --- Household surveys --- Random sampling --- Statistics of sampling --- Échantillonnage. --- Statistique mathématique --- Enquêtes.

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This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapte

Decision making --- Mathematical statistics. --- Pattern perception --- Basic Sciences. Statistics --- Mathematical models. --- Statistical methods. --- Mathematical Statistics. --- Decision Making --- Mathematical statistics --- Mathematical models --- Statistical methods --- Artificial intelligence. Robotics. Simulation. Graphics --- Perception des structures --- Décision, prise de --- Statistique mathématique --- Prise de décision --- Modèles mathématiques --- Méthodes statistiques --- Pattern recognition --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Design perception --- Form perception --- Perception --- Figure-ground perception --- Decision Making - Mathematical models --- Pattern perception - Statistical methods

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The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.

Geological modeling --- Geology --- Basic Sciences. Statistics --- Computer simulation. --- Statistical methods. --- Statistical methods --- Applied Statistics. --- SGeMS (Computer software). --- SGeMS (Computer software) --- Modèles en géologie --- Géologie --- Géostatistique --- Simulation par ordinateur --- Méthodes statistiques --- Computer simulation --- Géostatistique. --- Simulation par ordinateur. --- Méthodes statistiques. --- Geognosy --- Geoscience --- Earth sciences --- Natural history --- Geological statistics --- Geostatistics --- Modeling, Geological --- Models and modelmaking --- Stanford Geostatistical Modeling Software --- Geological modeling - Computer simulation --- Geological modeling - Statistical methods --- Geology - Computer simulation --- Geology - Statistical methods --- Geology - Statistical methods - Software --- Modèles en géologie --- Géologie --- Géostatistique. --- Méthodes statistiques. --- Méthodes statistiques

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Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the approximate methods developed for the problem of attaching standard errors or confidence limits to nonlinear estimates made from the results of surveys with complex plans.

Mathematical statistics --- Sampling (Statistics) --- Échantillonnage --- Sampling --- Méthode statistique --- Statistical methods --- #SBIB:303H512 --- 519.243 --- 57.087.1 --- #ECO:01.02:economie theorie geschiedenis denken --- AA / International- internationaal --- 304.8 --- 301 --- 519.5 --- 001.4222 --- Random sampling --- Statistics of sampling --- Statistics --- Methoden sociale wetenschappen: statistische technieken, staal --- Sampling. Sampling theory --- Biometry. Statistical study and treatment of biological data --- Steekproeftheorie. --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek. --- Basic Sciences. Statistics --- Probability Theory, Sampling Theory --- Sampling (Statistics). --- Probability Theory, Sampling Theory. --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.243 Sampling. Sampling theory --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek --- Steekproeftheorie --- Statistique mathématique --- Échantillonnage (statistique) --- Échantillonnage (statistique) --- Échantillonnage --- Statistique mathématique. --- Collecte des données --- Enquête --- Statistique mathématique.

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Multivariate analysis --- 519.233 --- 519.237 --- 57.087.1 --- 519.233 Parametric methods --- Parametric methods --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- #ABIB:abos --- #ABIB:astp --- #ABIB:dd.prof.E.TOLLENS --- 304.0 --- 306.5 --- AA / International- internationaal --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Statistische analyse (methodologie) --- Statistics as Topic --- Multivariate Analysis --- Multivariate analysis. --- Basic Sciences. Statistics --- Statistical Analysis. --- Multivariate Statistics. --- Analyse multivariée --- Statistics --- Regression analysis --- Factor analysis --- Analyse multivariée. --- Statistique. --- Statistiques --- Analyse de régression --- Analyse factorielle. --- Analyse de variance. --- Tests --- Analyse de régression. --- Tests.