Tag: Forecasting

Rainfall Behavior, Forecasting and Distribution


Free Download Olga E. Martin, "Rainfall: Behavior, Forecasting and Distribution "
English | ISBN: 1620815516 | 2013 | 193 pages | PDF | 15 MB
In this book, the authors present topical research in the study of the behaviour, forecasting and distribution of rainfall variability. Topics discussed in this compilation include coping strategies in relation to local rainfall variability in Tanzania; rainfall variability and changes in Bangladesh; non-parametric methods for forecasting time series from cumulative monthly rainfall; long term and interannual rainfall variability in the Argentinean Chaco plain region; study of wet scavenging of atmospheric aerosols using decay products in rainwater; spatial variability of rain and its erosivity in a tropical semi-arid area in Kenya; potential of the piezoelectric transducer for direct rainfall kinetic energy measurement and erosivity evaluation; climatology and rainfall in north-east Brazil; and the Kalman Filtering approach in the calibration of radar rainfall data.

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Modern Time Series Forecasting with Python Industry-ready machine learning and deep learning


Free Download Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas by Manu Joseph, Jeffrey Tackes
English | October 31, 2024 | ISBN: 1835883184 | 658 pages | MOBI | 7.82 Mb
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures

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Forecasting Profit


Free Download Forecasting Profit By Mike Metcalfe (auth.)
1995 | 339 Pages | ISBN: 1461359503 | PDF | 21 MB
This book is about managing the task of forecasting profit. It builds a case for using multiple methods, providing examples of each method, and suggesting practical techniques to use in dealing with the issues and problems of accuracy in profit forecasts. All the elements that infringe on profits (costs, sales, budgeting, investment, and loan default) are examined within this framework. In addition to synthesizing the research, Professor Metcalfe has applied his own research work on forecast modeling and judgmental methods. The final result is a practical reference book for making more accurate profit forecasts.

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Recent Advances in Modeling and Forecasting Kaiyu (EPUB)


Free Download Recent Advances in Modeling and Forecasting Kaiyu: Tools for Predicting and Verifying the Effects of Urban Revitalization Policy by Saburo Saito, Kenichi Ishibashi, Kosuke Yamashiro
English | EPUB (True) | 2023 | 620 Pages | ISBN : 9819912407 | 101.6 MB
This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies.

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Forecasting from Multi-equation Econometric Micromodels (Contributions to Economics)


Free Download Forecasting from Multi-equation Econometric Micromodels (Contributions to Economics) by Jerzy Witold Wiśniewski
English | May 12, 2023 | ISBN: 3031274911 | 156 pages | MOBI | 10 Mb
Forecasting from multi-equation models has very rarely been the focus in econometric literature. In response, this book presents a range of methodologies to approach this complex field and offers readers essential information on forecasting from multi-equation econometric micromodels.

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Ultimate Enterprise Data Analysis and Forecasting using Python


Free Download 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) by Shanthababu Pandian
English | December 28, 2023 | ISBN: 8119416449 | 442 pages | MOBI | 16 Mb
Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making

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Stochastic Flood Forecasting System The Middle River Vistula Case Study


Free Download Stochastic Flood Forecasting System: The Middle River Vistula Case Study By Renata J. Romanowicz, Marzena Osuch (eds.)
2015 | 198 Pages | ISBN: 3319188534 | PDF | 9 MB
This book presents the novel formulation and development of a Stochastic Flood Forecasting System, using the Middle River Vistula basin in Poland as a case study. The system has a modular structure, including models describing the rainfall-runoff and snow-melt processes for tributary catchments and the transformation of a flood wave within the reach. The sensitivity and uncertainty analysis of the elements of the study system are performed at both the calibration and verification stages. The spatial and temporal variability of catchment land use and river flow regime based on analytical studies and measurements is presented. A lumped parameter approximation to the distributed modelling of river flow is developed for the purpose of flow forecasting. Control System based emulators (Hammerstein-Wiener models) are applied to on-line data assimilation. Medium-range probabilistic weather forecasts (ECMWF) and on-line observations of temperature, precipitation and water levels are used to prolong the forecast lead time. The potential end-users will also benefit from a description of social vulnerability to natural hazards in the study area.

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Recursive Streamflow Forecasting A State Space Approach


Free Download Recursive Streamflow Forecasting: A State Space Approach By Jozsef Szilagyi, Andras Szollosi Nagy
2010 | 212 Pages | ISBN: 041556901X | PDF | 4 MB
This textbookis apractical guide to real-time streamflow forecasting that provides a rigorous description of a coupled stochastic and physically based flow routing method and its practical applications. This method is used in current times of record-breaking floods to forecast flood levels by various hydrological forecasting services. By knowing in advance when, where, and at what level a river will crest, appropriate protection works can be organized, reducing casualties and property damage. Through its real-life case examples and problem listings, the book teaches hydrology and civil engineering students and water-resources practitioners the physical forecasting model and allows them to apply it directly in real-life problems of streamflow simulation and forecasting. Designed as a textbook for courses on hydroinformatics and water management, it includes exercises anda CD-ROM with MATLAB® codes for the simulation of streamflows and the creation of real-time hydrological forecasts.

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