Forecasting and predictive analytics with forecast - Connect - 12 meses
7th Edición
1456288059
·
9781456288051
© 2021 | Published: May 14, 2021
The Seventh Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software-Forecast X.This edition presents a broad-based survey of business forecasting methods including subjective and objective …
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Pasos:
1. Consulta con tu docente el ISBN y la duración de la licencia que debes adquirir.
2. Compra tu producto y revisa tu correo electrónico, donde recibirás tu código de acceso.
3. Ingresa a la liga (URL) de tu curso (proporcionada por tu docente).
4. Coloca tu correo institucional, si eres nuevo usuario te pedirá crear una cuenta y contraseña segura que recuerdes fácilmente.
5. Agrega el código de acceso que recibiste por correo electrónico y da clic en "Redeem".
6. Confirma la información del curso.
7. Da clic en "Continue" y confirma la información para acceder a tu curso.
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Chapter 1: Introduction to Business Forecasting and Predictive Analytics
Chapter 2: The Forecast Process, Data Considerations, and Model Selection
Chapter 3: Extrapolation 1. Moving Averages and Exponential Smoothing
Chapter 4: Extrapolation 2. Introduction to Forecasting with Regression Trend Models
Chapter 5: Explanatory Models 1. Forecasting with Multiple Regression Causal Models
Chapter 6: Explanatory Models 2. Time-Series Decomposition
Chapter 7: Explanatory Models 3. ARIMA (Box-Jenkins) Forecasting Models
Chapter 8: Predictive Analytics: Helping to Make Sense of Big Data
Chapter 9: Classification Models: The Most Used Models in Analytics
Chapter 10: Ensemble Models and Clustering
Chapter 11: Text Mining
Chapter 12: Forecast/Analytics Implementation
Chapter 2: The Forecast Process, Data Considerations, and Model Selection
Chapter 3: Extrapolation 1. Moving Averages and Exponential Smoothing
Chapter 4: Extrapolation 2. Introduction to Forecasting with Regression Trend Models
Chapter 5: Explanatory Models 1. Forecasting with Multiple Regression Causal Models
Chapter 6: Explanatory Models 2. Time-Series Decomposition
Chapter 7: Explanatory Models 3. ARIMA (Box-Jenkins) Forecasting Models
Chapter 8: Predictive Analytics: Helping to Make Sense of Big Data
Chapter 9: Classification Models: The Most Used Models in Analytics
Chapter 10: Ensemble Models and Clustering
Chapter 11: Text Mining
Chapter 12: Forecast/Analytics Implementation
The Seventh Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software-Forecast X.
This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Keating and Wilson deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum.
This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Keating and Wilson deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum.