Tag: Forecasting

September 12, 2024

Recursive Streamflow Forecasting A State Space Approach

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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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September 12, 2024

Forecasting for the Pharmaceutical Industry Models for New Product And In-market Forecasting And How to Use Them

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Free Download Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them By Arthur G., Ph.D. Cook
2006 | 141 Pages | ISBN: 0566086751 | PDF | 11 MB
In virtually every decision, a pharmaceutical executive considers some type of forecast. This process of predicting the future is crucial to many aspects of the company – from next month’s production schedule, to market estimates for drugs in the next decade. The pharmaceutical forecaster needs to strike a delicate balance between over-engineering the forecast – including rafts of data and complex ‘black box’ equations that few stakeholders understand and even fewer buy into – and an overly simplistic approach that relies too heavily on anecdotal information and opinion. Art Cook’s highly pragmatic guide explains the basis of a successful balanced forecast for products in development as well as currently marketed products. The author explores the pharmaceutical forecasting process; the varied tools and methods for new product and in-market forecasting; how they can be used to communicate market dynamics to the various stakeholders; and the strengths and weaknesses of different forecast approaches. The text is liberally illustrated with tables, diagrams and examples. The final extended case study provides the reader with an opportunity to test out their knowledge. "Forecasting for the Pharmaceutical Industry" is a definitive guide for forecasters as well as the multitude of decision makers and executives who rely on forecasts in their decision making.

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September 10, 2024

Modern Time Series Forecasting with Python – Second Edition (Early Access)

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Free Download Modern Time Series Forecasting with Python – Second Edition
English | 2024 | ISBN: 9781835883181 | 181 Pages | EPUB | 8 MB
Predicting the future, whether it’s market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. With Modern Time Series Forecasting with Python, Second Edition, you’ll master cutting-edge deep learning architectures and advanced statistical techniques alongside classic methods like ARIMA and exponential smoothing. Learn the fundamentals from preprocessing, feature engineering, and evaluation to applying powerful machine and deep learning models, including ensemble and global methods.

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September 10, 2024

Grey Forecasting Mechanism, Models and Applications

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Free Download Grey Forecasting: Mechanism, Models and Applications
English | 2024 | ISBN: 9819753228 | 213 Pages | PDF EPUB (True) | 29 MB
This book aims to present an overview of grey system models for time series modelling and forecasting. It is about modelling and forecasting time series with ordinary differential equations, especially when the available samples are extremely limited. Grey system models (GSM) develop sequence operators to nonparametrically identify the underlying dynamics from the limited observations. This book concerns about two important modelling themes, small sample and poor information. The former focuses on the mechanism and methodology of GSMs for small-sample real-number time series, and the latter on the uncertainty quantification of grey number together with its small-sample modelling principles. In this book, a broad entry point to applied data science for students majoring in economic, management science, and engineering is applied, covering a wide range of topics from basic introductory material up to research-level techniques.

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September 9, 2024

River Ice Processes and Ice Flood Forecasting A Guide for Practitioners and Students

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Free Download River Ice Processes and Ice Flood Forecasting: A Guide for Practitioners and Students by Karl-Erich Lindenschmidt
English | EPUB | 2020 | 275 Pages | ISBN : 3030286789 | 111.2 MB
This book exposes practitioners and students to the theory and application of river and lake ice processes to gain a better understanding of these processes for modelling and forecasting. It focuses on the following processes of the surface water ice: freeze-up, ice cover thickening, ice cover breakup and ice jamming.

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September 5, 2024

Time Series Forecasting with Python (2024)

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Free Download Time Series Forecasting with Python (2024)
Published 9/2024
Created by SmartPy AI
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 11m ) | Size: 939 MB
Learn how to use Python for Forecasting time series data, using ARIMA, Prophet, Statsmodels

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