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Carlberg, Conrad

Logistic Regression in R and Excel

Business decisions are often binary: take on this project or put it off for a year; extend credit to ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Understanding and Using Confidence Intervals

Confidence intervals are a family of statistical techniques that show up, often in unexpected guises ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Meta-analysis for Data Science and Business Analytics

In a world where nearly everyone uses data to inform their business methodologies, an emerging conse ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Forecasting with Exponential Smoothing

Exponential smoothing is a term for a set of straightforward forecasting procedures that apply self- ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Multiple Comparisons in R and Excel

Statistical analysis often goes beyond simple analysis of variance (ANOVA), which tells you only if  ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

R for Excel Users

Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangli ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Data Reduction Techniques Using Excel and R

With businesses having to grapple with increasing amounts of data, the need for data reduction has i ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Forecasting with Seasonal Baseline Smoothing

Seasonal exponential smoothing is an extension of simple exponential smoothing (SES). Seasonal smoot ...

Im Bestand seit: 09.08.2021

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Carlberg, Conrad

Business Analytics: Forecasting with Trended Baseline Smoothing

Simple exponential smoothing (SES) incorporates most of the elements used in the smoothing approach  ...

Im Bestand seit: 09.08.2021

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