Learn to create your own forecasts with Excel: trends, cyclic data, forecast intervals and more! The classic techniques to have for any analytics professional Key Features Use and apply all the Excel forecasting functions to re...Loe edasi...
The book contains the most common as well as state-of-the-art methods in machine learning for time-series to take your understanding of time series to a new level. In addition to these comprehensive explanations, there are plenty of real-life exampl...Loe edasi...
This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates. The two attached programs...Loe edasi...
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including A...Loe edasi...
This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns....Loe edasi...
(Ilmumisaeg: 10-Mar-2023, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031168901)
This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates. The two attached programs...Loe edasi...
This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with t...Loe edasi...
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.Time Series Forecasting in Python teaches you to build powerful predicti...Loe edasi...
(Ilmumisaeg: 20-Oct-2022, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031135835)
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including A...Loe edasi...
This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns....Loe edasi...
Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new avenues in time series analysis and predictive modeling which summarize more than ten years of experience in t...Loe edasi...
The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview....Loe edasi...
(Ilmumisaeg: 25-Feb-2021, Paperback / softback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119682363)
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an...Loe edasi...
(Ilmumisaeg: 02-Mar-2020, Paperback / softback, Kirjastus: Stata Press, ISBN-13: 9781597183062)
Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and, at the same time, demonstrates how these techniques can be ap...Loe edasi...
This book covers block pulse and related functions for the analysis and identification of continuous and discrete-time systems. It covers ‘functions related to block pulse functions’ and pulse-width modulated generalized block pulse functions incl...Loe edasi...
This book presents the theory of adjoint sensitivity analysis for high frequency applications through time-domain electromagnetic simulations in MATLAB®. Using the popular Finite-Difference Time-Domain (FDTD) method, the book shows how...Loe edasi...
(Ilmumisaeg: 02-Jan-2013, Paperback / softback, Kirjastus: Stata Press, ISBN-13: 9781597181327)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic gro...Loe edasi...
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
Microfit 5.0 is an interactive, menu-driven program with a host of facilities for estimation, hypothesis testing, forecasting, data processing, file management, and graphic display. These features make Microfit 5.0 one of the most powerful menu-drive...Loe edasi...
![[ CAN] Time Series Analysis with Excel: A practical guide that will teach you how to perform practical time series analysis and forecasting using Excel](/shop/kriso2016/images/img_notfound.png)
