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Books on the topic 'Time series outlier detection'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

B, Hudak Gregory, ed. Forecasting and time series analysis using the SCA statistical system: Vol. I : Box-Jenkins ARIMA modeling, intervention analysis, transfer function modeling, outlier detection and adjustment, exponential smoothing, related univariate methods. Scientific computing associates corp., 1992.

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2

Ogasawara, Eduardo, Rebecca Salles, Fabio Porto, and Esther Pacitti. Event Detection in Time Series. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75941-3.

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3

Cédric, Demeure, ed. Statistical signal processing: Detection, estimation, and time series analysis. Addison-Wesley Pub. Co., 1991.

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4

Riazuddin, Riaz. Detection and forecasting of Islamic calendar effects in Time Series Data. State Bank of Pakistan, 2002.

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5

W, Kundzewicz Zbigniew, Unesco, World Meteorological Organization, and World Climate Programme, eds. Detection of change in world-wide hydrological time series of maximum annual flow. World Meteorological Organization, 2004.

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6

Hlawatsch, F. Time-Frequency Analysis and Synthesis of Linear Signal Spaces: Time-Frequency Filters, Signal Detection and Estimation, and Range-Doppler Estimation. Springer US, 1998.

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7

Radzeijewski, Maciej. Development, use and application of the Hydrospect data analysis system for the detection of changes in hydrological time series for use in WCP-water and national hydrological services. World Meteorological Organization, 2004.

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8

Panova, Anna. Tourism statistics. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1046178.

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Contains a detailed overview of the basic concepts of the General theory of statistics, groups of statistics, absolute, relative and average values, statistical study of the relationship of socio-economic phenomena, time series and methods for the detection of trend in time series, indices and their use in tourism. The theoretical material is illustrated with examples from tourism and hospitality. Detail the history of the development, the subject and objectives, the indicator system of tourism statistics. Meets the requirements of Federal state educational standards of higher education

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9

An Influence method for outlier detection applied to time series traffic data. Institute for Transport Studies, University of Leeds, 1992.

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10

Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics). Wiley-Interscience, 2003.

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11

Poor, H. Vincent, and Olympia Hadjiliadis. Quickest Detection. Cambridge University Press, 2009.

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12

Poor, H. Vincent, and Olympia Hadjiliadis. Quickest Detection. Cambridge University Press, 2009.

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13

Poor, H. Vincent, and Olympia Hadjiliadis. Quickest Detection. Cambridge University Press, 2008.

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14

Poor, H. Vincent, and Olympia Hadjiliadis. Quickest Detection. Cambridge University Press, 2008.

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15

Dijk, Dick van, Andri Lucas, and Philip H. Franses. Outlier Robust Analysis of Economic Time Series (Advanced Texts in Econometrics). Oxford University Press, USA, 2005.

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16

Poor, H. Vincent, and Olympia Hadjiliadis. Quickest Detection. Cambridge University Press, 2010.

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17

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis. Wiley & Sons, Incorporated, John, 2021.

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18

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis. Wiley & Sons, Incorporated, John, 2021.

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19

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis. Wiley & Sons, Incorporated, John, 2021.

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20

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis. Wiley & Sons, Incorporated, John, 2022.

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21

Outlier Robust Analysis of Economic Time Series (Advanced Texts in Econometrics). Oxford University Press, 2008.

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22

Hartmann, Ueli, and Felipe Ramirez. Real Time Detection of Turning Points in Financial Time Series. GRIN Verlag GmbH, 2013.

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23

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis 1. Wiley & Sons, Incorporated, John, 2021.

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24

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis 1. Wiley & Sons, Incorporated, John, 2021.

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25

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis 1. Wiley & Sons, Incorporated, John, 2022.

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26

Bruzzone, Lorenzo, Francesca Bovolo, and Abdourramahn Atto. Change Detection and Image Time-Series Analysis 1. Wiley & Sons, Incorporated, John, 2021.

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27

Inclan, Carla H. Retrospective detection of sudden changes of variance in time series. 1991.

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28

Ericson, Christer. Real-Time Collision Detection: The Morgan Kaufmann Series in Interactive 3D Technology. Taylor & Francis Group, 2005.

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29

Time series analysis and climate change: The detection of trends and patterns in climate from years to millenia. LAP Lambert Academic Publishing, 2011.

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30

Real-Time Collision Detection (The Morgan Kaufmann Series in Interactive 3-D Technology). Morgan Kaufmann, 2004.

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31

Time-frequency analysis and synthesis of linear signal spaces: Time-frequency filters, signal detection and estimation, and range-Doppler estimation. Kluwer Academic Publishers, 1998.

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32

Sabbe, Marc, K. Bronselaer, and O. Hoogmartens. The emergency medical system. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0007.

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The mission of the emergency medical services is to promote and support a system that provides timely, professional, and state-of-the art emergency medical care, including ambulance services, to anyone who is victim of a sudden injury or illness, at any time or location and at any phase of the emergency incident. These phases include lay people’s prevention and preparedness, occurrence of the problem, its detection, alarming of trained responders, help provided by bystanders and trained pre-hospital providers, transport to the appropriate hospital, and, if necessary, admission or transfer to a

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33

Prado, Raquel. Multistate models for mental fatigue. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.29.

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This article discusses the use of structured, multivariate Bayesian dynamic models in the analysis of experimental data involving large-scale electroencephalography (EEG) signals or time series generated on individuals subject to tasks inducing mental fatigue. It first provides an overview of the goals and challenges in the analysis of brain signals, using the EEG case as example, before describing the development and application of novel time-varying autoregressive and regime switching models, which incorporate relevant prior information via structured priors and fitted using novel, customize

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34

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Entropy and Surrogate Testing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0005.

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Reconstructing real-world system dynamics from time series data on a single variable is challenging because real-world data often exhibit a highly volatile and irregular appearance potentially driven by several diverse factors. NLTS methods help eliminate less likely drivers of dynamic irregularity. We set a benchmark for regular behavior by investigating how linear systems of ODEs are restricted to exponential and periodic dynamics, and illustrating how irregular behavior can arise if regular linear dynamics are corrupted with noise or shift over time (i.e., nonstationarity). We investigate h

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35

Vishveshwara, Smitha, and C. V. Vishveshwara. Two Revolutions: Einstein’s Relativity and Quantum Physics. Oxford University PressOxford, 2024. https://doi.org/10.1093/9780191818080.001.0001.

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Abstract “Can you kick apart a black hole?” “What about electrons?” As a child, quantum-physicist Smitha Vishveshwara pondered such questions with her astrophysicist father, C. V. Vishveshwara (Vishu); decades later, their musings grew into a series of letter exchanges in Two Revolutions: Einstein’s Relativity and Quantum Physics. The letters between father and daughter lead the scientifically curious reader through these two remarkable branches of physics that dramatically changed our perception of Nature. From the subatomic to the astronomical realms, they weave a rich tapestry of scientific

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