Noslēguma darbu reģistrs
  
Studiju darba apraksts
Studiju veids maģistra akadēmiskās studijas
Studiju programmas nosaukums Uzņēmējdarbība un vadīšana
Nosaukums Mārketinga lēmumu statistiskā izvērtēšana
Nosaukums angļu valodā Statistical Evaluation in Marketing Decisions
Autors Hemant Goyal
Struktūrvienība 02A00 Ārzemju studentu departaments
Darba vadītājs Elīna Gaile-Sarkane
Recenzents Deniss Ščeulovs
Anotācija 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.
Atslēgas vārdi Marketing, sales, statistics
Atslēgas vārdi angļu valodā Marketing, sales, statistics, nested logit
Valoda eng
Gads 2014
Darba augšupielādes datums un laiks 03.09.2014 16:36:40