"Statistical Dynamic Classification to Detect Changes in Temperature Time Series"

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Book	Author(s)	Year	Publisher
Introduction to statistical time series /	Fuller, Wayne A.	[1996], ©1996.	J. Wiley,
Introduction to statistical time series	Wayne A. Fuller	1976	Wiley
Time Series Clustering and Classification	Elizabeth Ann Maharaj; Pierpaolo D&s; Urso; Jorge Caiado	2019	Routledge
Time Series and Dynamic Models	Christian Gourieroux; Alain Monfort; Giampiero Gallo	1996-01	Cambridge University Press
Introduction to Statistical Time Series, 2nd Edition	Wayne A. Fuller	1995	John Wiley & Sons
Comparison of time to detect definitions	Laurence M. Dubois	1986
Time Series Analysis on AWS: Learn how to build forecasting models and detect anomalies in your time series data	Michael Hoarau	2022	Packt Publishing
Statistical Analysis of Time Series	T. W. Anderson	1971	John Wiley & Sons
Dynamic and Mobile GIS: Investigating Changes in Space and Time	Roland Billen; Elsa Joao; David Forrest	2006	Routledge
Statistical analysis of stationary time series	Ulf Grenander, Murray Rosenblatt	1957	Wiley
The statistical analysis of time series /	Anderson, T. W.	1994.	Wiley,
Statistical analysis of stationary time series	Ulf Grenander	1957	Wiley
Dynamic Systems and Dynamic Classification Problems in Geophysical Applications	Jacques Octave Dubois; Alexei Gvishiani	1998	Springer Berlin Heidelberg
Changes in classification of physician specialty	Stephen D. Harden	1994	HK Research Corp.
API changes oil classification	United States. Bureau of Land Management. Portland Service Center	1970	U.S. Department of the Interior, Bureau of Land Management, Portland Service Center
Changes in Leisure Time	World Tourism Organization	November 1, 1999	World Tourism Organization Pubns
Statistical visions in time: a history of time series analysis, 1662-1938	Judy L. Klein	1997	Cambridge University Press
Statistical inference in dynamic economic models	Tjalling C. Koopmans, Jacob Marschak	1950	Wiley
Statistical inference in dynamic economic models	Tjalling Charles Koopmans	1950	Wiley
Space temperature correlations in quantum statistical mechanics	William Kunkin	1967	Courant Institute of Mathematical Sciences, New York University
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Statistical Dynamic Classification to Detect Changes in Temperature Time Series	Laurent Hartert; Danielle Nuzillard; Jean-Louis Nicolas; Jean-Philippe Jeannot	Advances in Computational Intelligence, Part I: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part I	Salvatore Greco; Bernadette Bouchon-Meunier; Giulianella Coletti; Mario Fedrizzi; Benedetto Matarazzo; Ronald R. Yager	2012	Springer Berlin Heidelberg
A Dynamic-Statistical Downscaling Approach for Simulating Air Temperature Time Series	I. Yiannikopoulou; D. Deligiorgi; H. A. Flocas; K. Philippopoulos	Advances in Meteorology, Climatology and Atmospheric Physics	Costas G. Helmis; Panagiotis T. Nastos	2013	Springer Berlin Heidelberg
Thermal Receptors Detect Changes in Skin Temperature		Eric Kandel PRINCIPLES OF NEURAL SCIENCE Sixth Edition	Eric Kandel	2021	McGraw Hill
Thermal Receptors Detect Changes in Skin Temperature		Principles of Neural Science	Eric R. Kandel (editor); Steven Siegelbaum (editor); Sarah Mack (editor); John Koester (editor)	2021	McGraw-Hill
Time series classification		Zero to Deep Learning with Keras and Tensorflow	Mosconi F	2019	Catalit LLC
Statistical Inference in Time Series	P. Whittle	Time Series and Statistics	John Eatwell; Murray Milgate; Peter Newman	1st ed. 1990	Palgrave Macmillan UK
Enhanced Weighted Dynamic Time Warping for Time Series Classification	Pichamon Anantasech; Chotirat Ann Ratanamahatana	Third International Congress on Information and Communication Technology: ICICT 2018, London	Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi	1st ed. 2019	Springer Nature Singapore
Statistical and Numerical Algorithms for Time Series Classification	Roberto Baragona; Salvatore Vitrano	Data Analysis and Classification: Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica	Francesco Palumbo; Carlo Natale Lauro; Michael Greenacre	2010	Springer Berlin Heidelberg
Structural Changes in Time Series	Marius-Christian Frunza	Solving Modern Crime in Financial Markets	Marius-Cristian Frunza	2016	Academic Press
Changes with time – time series	Alan J.B. Anderson	Interpreting Data: A First Course in Statistics	Alan J. B. Anderson	1989	Routledge
A Scalable Segmented Dynamic Time Warping for Time Series Classification	Ruizhe Ma; Azim Ahmadzadeh; Soukaïna Filali Boubrahimi; Rafal A. Angryk	Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II	Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada	1st ed. 2019	Springer International Publishing
Dynamic Time Series Model		Finite Sample Econometrics	Aman Ullah	2004	Oxford University Press
Dynamic Full Time Series		Energy conversion systems: an overview	Sanjeevikumar Padmanaban (editor); Saurabh Mani Tripathi (editor)	2021	Nova Science Publishers, Incorporated
Invariant Time-Series Classification	Josif Grabocka; Alexandros Nanopoulos; Lars Schmidt-Thieme	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II	Peter A. Flach; Tijl De Bie; Nello Cristianini	2012	Springer Berlin Heidelberg
Time Series Data Classification	Dimitrios Kotsakos; Dimitrios Gunopulos	Data Classification: Algorithms and Applications	Charu C. Aggarwal	2014	Routledge
VI Time Series Classification		Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python	Jason Brownlee	2018
Applying Time-Series Analysis to Detect Scale Drift	Deping Li; Shuhong Li; Alina A. von Davier	Statistical Models for Test Equating, Scaling, and Linking	Alina von Davier	2011	Springer New York
Statistical Detection of Changes in Geophysical Series	Jacques Bernier	Engineering Risk in Natural Resources Management: With Special References to Hydrosystems Under Changes of Physical or Climatic Environment	L. Duckstein; E. Parent	1994	Springer Netherlands
Statistical Approaches to Detect Anomalies	G. Sandhya Madhuri; M. Usha Rani	Emerging Research in Data Engineering Systems and Computer Communications: Proceedings of CCODE 2019	P. Venkata Krishna; Mohammad S. Obaidat	1st ed. 2020	Springer Nature Singapore
Mean time to detect		Incident Response in the Age of Cloud: Techniques and best practices to effectively respond to cybersecurity incidents	Erdal Ozkaya	2021	Packt Publishing
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