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1

GeoENV 2014 : [abstracts]

GeoENV 2014 : [abstracts]

Published 2023

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2

Big data mining for climate change

Big data mining for climate change

by Zhang, Zhihua.
Published 2019

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3

Applied statistics for environmental science with R

Applied statistics for environmental science with R

by Alkarkhi, Abbas F.M.
Published 2019

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4

Complexity of seismic time series : measurement and application

Complexity of seismic time series : measurement and application

Published 2018

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5

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

by Lantz, Brett.
Published 2015

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6

Bayesian Models : A Statistical Primer for Ecologists

Bayesian Models : A Statistical Primer for Ecologists

by Hobbs, N. Thompson.
Published 2015

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7

Introduction to statistical machine learning

Introduction to statistical machine learning

by Sugiyama, Masashi.
Published 2015

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8

Analytics in a big data world : the essential guide to data science and its applications

Analytics in a big data world : the essential guide to data science and its applications

by Baesens, Bart, 1975-
Published 2014

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9

Semi-Markov processes : applications in system reliability and maintenance

Semi-Markov processes : applications in system reliability and maintenance

by Grabski, Franciszek, 1946-
Published 2014

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10

Sports Analytics : A Guide for Coaches, Managers, and Other Decision Makers

Sports Analytics : A Guide for Coaches, Managers, and Other Decision Makers

by Alamar, Benjamin C.
Published 2013

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11

Loss models : from data to decisions

Loss models : from data to decisions

by Klugman, Stuart A., 1949-
Published 2013

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12

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

by Lantz, Brett.
Published 2013

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13

Loss models : further topics

Loss models : further topics

by Klugman, Stuart A., 1949-
Published 2013

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14

Reliability analysis of dynamic systems : efficient probabilistic methods and aerospace applications : Shanghai Jiao Tong University Press Aerospace Series

Reliability analysis of dynamic systems : efficient probabilistic methods and aerospace applications : Shanghai Jiao Tong University Press Aerospace Series

by Wu, Bin, 1957-
Published 2013

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15

Chemometrics in food chemistry

Chemometrics in food chemistry

by Marini, Ferico.
Published 2013

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16

˜The œmathematics of derivatives securities with applications in MATLAB

The mathematics of derivatives securities with applications in MATLAB

by Cerrato, Mario.
Published 2012

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17

Methods and applications of statistics in the atmospheric and earth sciences

Methods and applications of statistics in the atmospheric and earth sciences

by Balakrishnan, Narayanaswamy, 1956-
Published 2012

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18

Geostatistics : modeling spatial uncertainty

Geostatistics : modeling spatial uncertainty

by Chilès, Jean-Paul.
Published 2012

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19

Statistical and Machine Learning Approaches for Network Analysis

Statistical and Machine Learning Approaches for Network Analysis

by Dehmer, Matthias, 1968-
Published 2012

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20

Geometric morphometrics for biologists : a primer

Geometric morphometrics for biologists : a primer

by Zelditch, Miriam Leah, 1952-
Published 2012

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21

Modeling uncertainty in the Earth Sciences

Modeling uncertainty in the Earth Sciences

by Caers, Jef.
Published 2011

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22

Practical statistics for geographers and earth scientists

Practical statistics for geographers and earth scientists

by Walford, Nigel.
Published 2011

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23

Statistics for Earth and Environmental Scientists

Statistics for Earth and Environmental Scientists

by Schuenemeyer, John H.
Published 2011

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24

Modern regression techniques using R : a practical guide for students and researchers

Modern regression techniques using R : a practical guide for students and researchers

by Wright, Daniel B.
Published 2012

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25

New Directions in Statistical Signal Processing : From Systems to Brains

New Directions in Statistical Signal Processing : From Systems to Brains

by Haykin, Simon, 1931-
Published 2007

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