European University Institute Library

More predictive analytics, Microsoft Excel, Conrad Carlberg

Label
More predictive analytics, Microsoft Excel, Conrad Carlberg
Language
eng
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
More predictive analytics
Oclc number
921134495
Responsibility statement
Conrad Carlberg
Sub title
Microsoft Excel
Summary
In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won't have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You'll learn how to predict what customers will spend on a given product next year project how many patients your hospital will admit next quarter tease out the effects of seasonality (or patterns that recur over a day, year, or any other period) distinguish real trends from mere "noise." Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you'll learn how to make the most of built-in Excel tools to gain far deeper insights from your data.--, Provided by Publisher
Table Of Contents
1. Multinomial Logistic Regression 2. Probit Analysis 3. Seasonal Exponential Smoothing 4. Survival Analysis 5. ARIMA Models: Forecasting an Autoregressive Time Series 6. ARIMA Models: Forecasting a Moving Average Time Series 7. Seasonal ARIMA Models
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