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texts on time series modeling are available, it still remains difficult to find a book that adequately covers methods for performing diagnostic;
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, agriculture and food production and veterinary diagnostics. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters;
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Microfluidic techniques are becoming widely incorporated into medical diagnostic systems due to the inherent advantages of miniaturization;
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this volume covers topics such as:* Semiparametric and non-parametric interference.* Multivariate analysis.* Diagnostic tests.* Time series;
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urinary cell free DNA. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their;
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This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;
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This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;
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Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;
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Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;
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sciences who want to know how time series can be used in their areas of research. The book provides useful examples that show the operational;
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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;
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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;
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Time Series Analysis, 2nd Edition is a thorough introduction to both time-domain and frequency-domain analyses of univariate and;
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From the author of the bestselling Analysis of Time Series, Time-Series Forecasting offers a comprehensive, up-to-date review;
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A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series;
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methods for modeling and analyzing univariate count series. It next discusses diagnostics and applications before proceeding to binary and;
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modeling and analyzing univariate count series. It next discusses diagnostics and applications before proceeding to binary and categorical time;
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data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include;
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The Athens Conference on Applied Probability and Time Series in 1995 brought together researchers from across the world. The published;
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In time series modeling, the behavior of a certain phenomenon is expressed in relation to the past values of itself and other covariates;
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This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book;
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Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;
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Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;
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Diagnostic Medical Parasitology covers all aspects of human medical parasitology and provides detailed, comprehensive, relevant diagnostic;
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Echocardiology comprises all aspects of diagnostic application of ultrasound to cardiac patients. It is probably the fastest growing non;
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This volume in the Methods in Enzymology series comprehensively covers Infectious Diseases, Immunotheraphy, Gene Medicine, Diagnostics;
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Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and;
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