| Form of studies |
Master |
| Title of the study programm |
Entrepreneurship and Management |
| Title in original language |
Mārketinga lēmumu statistiskā izvērtēšana |
| Title in English |
Statistical Evaluation in Marketing Decisions |
| Department |
22000 Faculty of Engineering Economics and Management |
| Scientific advisor |
Elīna Gaile-Sarkane |
| Reviewer |
Deniss Ščeulovs |
| Abstract |
Statistical analyses are vital to effective marketing. Data is paramount as a prerequisite for statistical analysis. There are several types of data and some are more suitable than others for specific purposes. Multiple issues may exist in the data and require resolution. There is always an unobserved part. No matter how accurately and diligently data is collected, no database can fully explain behavior. There are many statistical models available for every application. Each model has comparative advantages and demerits. The aggregate Nested Logit Model (NLM)of demand best predicted sales (indirectly using utility) and values of cross price elasticity between brands using explanatory variables. This is because NLM allows for uneven cross elasticity between products by using nests. |
| Keywords |
Marketing, sales, statistics |
| Keywords in English |
Marketing, sales, statistics, nested logit |
| Language |
eng |
| Year |
2014 |
| Date and time of uploading |
03.09.2014 16:36:40 |
