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Developments in Environmental Modelling eBook Series

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  • Numerical Ecology

    Series Book 24 - Developments in Environmental Modelling
    The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition ... Read more

    PHP5,815.79

  • Numerical Ecology

    Series Book 24 - Developments in Environmental Modelling
    The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. - An updated, 3rd English ... Read more

    PHP5,306.69

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  • Information Geometry and Its Applications

    Series series Mathematics and Statistics (R0)
    This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide range of applications, covering information science, engineering, and neuroscience. It consists of four parts, which on the whole can be read independently. A manifold with a divergence function is first introduced ... Read more

    PHP7,371.19

  • Introduction to WinBUGS for Ecologists

    Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses

    by Marc Kéry ...
    Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. ... Read more

    PHP2,892.99

  • Cause and Correlation in Biology

    A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

    by Bill Shipley ...
    Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out ... Read more

    PHP3,515.89

  • Non-standard Spatial Statistics and Spatial Econometrics

    Series series Earth and Environmental Science (R0)
    Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what ... Read more

    PHP8,599.79

  • State Estimation in Chemometrics

    The Kalman Filter and Beyond

    This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. It further applies system theory in order to develop a modular framework to be implemented on computer for the development of simple intelligent analyzers. Short reviews on the history of state estimation and chemometrics are given, together with examples of the ... Read more

    PHP4,906.69

  • Linear Models

    A Mean Model Approach

    Series series Probability and Mathematical Statistics
    Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The ... Read more

    PHP6,486.29

  • Matrix Information Geometry

    Series series Engineering (R0)
    This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering.The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance ... Read more

    PHP8,599.79

  • Statistical Methods in the Atmospheric Sciences

    Series Book 100 - International Geophysics
    Statistical Methods in the Atmospheric Sciences, Second Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines. In this ... Read more

    PHP4,877.79

  • Statistical Models

    by A. C. Davison ...
    Series Book 11 - Cambridge Series in Statistical and Probabilistic Mathematics
    Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, ... Read more

    PHP3,848.49

  • Ecological Models and Data in R

    Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive ... Read more

    PHP3,545.99