Graduate papers
  
Description of the graduate paper
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
Author Hemant Goyal
Department Foreign Students Department
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