A design of experiment of DSLR image clarity: An experimental economic analysis

This research is focused on randomized designs, two-stage experiments that first randomize treatment of a group, then investigate on the significant factors with economic perspective. It is attempted to map the potential outcomes framework with partial interference to a regression model with clustered errors, calculate standard errors of randomized saturation designs. The objective of this study is to assess the clarity of a photographic image produced by a DSLR camera by varying relevant factors such as image distance, shutter speed, aperture etc with on impact financial support. The criterion for assigning the ranking was the ability of clearly seeing the object in the photographs and the sharpness of the object. Design of experiments (DOE)-based approach allows for an efficient estimation of the main effects and the interactions with minimal number of experiments. This study investigates the factors that are mostly responsible for DSLR image clarity. All the six factors are set in two levels to create a full-factorial 2k design. A residual analysis has been done to test for defects such as non-normality, non-independent and non-constant variance. Based upon this evidence, we assert that (DOE)-based approach valuation information has the potential to negatively impact financial support for the exact resources the information is designed to promote and holds considerable potential for experimental economics, deserves greater attention as a methodological tool, and promises important insights on strategic decision making.