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amanda lenzi

Showing 1 - 12 of 12 results for “amanda lenzi
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  • Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the ... Read more

    $72.99 USD

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  • Probabilistic Robotics

    Series series Intelligent Robotics and Autonomous Agents series
    An introduction to the techniques and algorithms of the newest field in robotics.Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of ... Read more

    $61.99 USD

  • Generalized Additive Models

    An Introduction with R, Second Edition

    by Simon N. Wood ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Read more

    $125.99 USD

  • Applied Geostatistics with SGeMS

    A User's Guide

    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 ... Read more

    $58.29 USD

  • GIS Algorithms

    Series series SAGE Advances in Geographic Information Science and Technology Series
    Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a coherent representation. GIS Algorithms attempts to address this problem by ... Read more

    $96.29 USD

  • Computer Vision

    Principles, Algorithms, Applications, Learning

    by E. R. Davies ...
    Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer ... Read more

    $98.99 USD

  • Applied Spatial Data Analysis with R

    Series series Mathematics and Statistics (R0)
    Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS ... Read more

    $80.09 USD

  • A Course in Statistics with R

    Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in ... Read more

    $94.00 USD

  • Gmdh-methodology And Implementation In Matlab

    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Read more

    $38.69 USD

  • Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

    Volume 1:Prelude and Static Models

    Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as ... Read more

    $80.99 USD

  • Elementary Thinking for the 21St Century

    by Geoff A. Mohr ...
    The book delves into a unique mix of the following areas: 1. The psychology of learning, memory, and thinking 2. Tools for critical thinking and assessment 3. Collective thinking of groups, corporations, and the public 4. Measurement of attitudes and market research 5. Mathematical logic and computer programming 6. Planning and scheduling techniques 7. Optimization techniques (both linear and non ... Read more

    $4.99 USD

  • Core Concepts in Data Analysis: Summarization, Correlation and Visualization

    by Boris Mirkin ...
    Series series Computer Science (R0)
    Core Concepts in Data Analysis: Summarization, Correlation and Visualizationprovides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).Boris Mirkin takes an unconventional ... Read more

    $31.49 USD