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Practical Time Series Analysis
Practical Time Series Analysis
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Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
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Time Series Analysis for the State-Space Model with R/Stan
Time Series Analysis for the State-Space Model with R/Stan
£107.64
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Singular Spectrum Analysis for Time Series (SpringerBriefs in Statistics)
Singular Spectrum Analysis for Time Series (SpringerBriefs in Statistics)
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Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
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Hands-On Time Series Analysis with R
Hands-On Time Series Analysis with R
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Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2022 (Contributions to Statistics)
Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2022 (Contributions to Statistics)
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Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
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Analysis of Integrated and Cointegrated Time Series with R (Use R!)
Analysis of Integrated and Cointegrated Time Series with R (Use R!)
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Political Secularism, Religion, and the State: A Time Series Analysis of Worldwide Data (Cambridge Studies in Social Theory, Religion and Politics)
Political Secularism, Religion, and the State: A Time Series Analysis of Worldwide Data (Cambridge Studies in Social Theory, Religion and Politics)
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Multivariate Time Series Analysis: With R and Financial Applications (Wiley Series in Probability and Statistics)
Multivariate Time Series Analysis: With R and Financial Applications (Wiley Series in Probability and Statistics)
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Time Series Analysis: Univariate and Multivariate Methods
Time Series Analysis: Univariate and Multivariate Methods
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Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)
Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)
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The Analysis of Time Series: Theory and Practice (Monographs on Statistics and Applied Probability)
The Analysis of Time Series: Theory and Practice (Monographs on Statistics and Applied Probability)
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Brownian Motion, the Fredholm Determinant, and Time Series Analysis: 9 (Institute of Mathematical Statistics Monographs, Series Number 9)
Brownian Motion, the Fredholm Determinant, and Time Series Analysis: 9 (Institute of Mathematical Statistics Monographs, Series Number 9)
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Introduction to Time Series Analysis (Quantitative Applications in the Social Sciences)
Introduction to Time Series Analysis (Quantitative Applications in the Social Sciences)
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Introduction to Time Series Analysis and Forecasting (WILEY SERIES IN PROB & STATISTICS/see 1345/6,6214/5)
Introduction to Time Series Analysis and Forecasting (WILEY SERIES IN PROB & STATISTICS/see 1345/6,6214/5)
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Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
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XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance
XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance
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Statistical Visions in Time: A History of Time Series Analysis, 1662-1938
Statistical Visions in Time: A History of Time Series Analysis, 1662-1938
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Time Series Analysis and Forecasting using Python & R
Time Series Analysis and Forecasting using Python & R
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Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
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Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition
Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition
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Time Series Analysis: With Applications in R (Springer Texts in Statistics)
Time Series Analysis: With Applications in R (Springer Texts in Statistics)
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Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
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Principles of Karst Hydrogeology: Conceptual Models, Time Series Analysis, Hydrogeochemistry and Groundwater Exploitation (Springer Textbooks in Earth Sciences, Geography and Environment)
Principles of Karst Hydrogeology: Conceptual Models, Time Series Analysis, Hydrogeochemistry and Groundwater Exploitation (Springer Textbooks in Earth Sciences, Geography and Environment)
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Deep Learning in Time Series Analysis
Deep Learning in Time Series Analysis
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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
Building Statistical Models in Python: Develop useful models for regression ssification, time series, and survival analysis
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Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
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Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Modeling using Python (English Edition)
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Modeling using Python (English Edition)
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MCDOWALL: INTERRUPTED TIME SERIES ANALYSIS (PAPER)SIS (PAPER): 21 (Quantitative Applications in the Social Sciences)
MCDOWALL: INTERRUPTED TIME SERIES ANALYSIS (PAPER)SIS (PAPER): 21 (Quantitative Applications in the Social Sciences)
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Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition)
Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition)
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Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
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Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner
Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner
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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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New Introduction to Multiple Time Series Analysis
New Introduction to Multiple Time Series Analysis
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Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications
Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications
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Time Series Analysis
Time Series Analysis
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Non-Stationary Time Series Analysis and Cointegration (Advanced Texts in Econometrics)
Non-Stationary Time Series Analysis and Cointegration (Advanced Texts in Econometrics)
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Introduction to Modern Time Series Analysis (Springer Texts in Business and Economics)
Introduction to Modern Time Series Analysis (Springer Texts in Business and Economics)
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