Multidata inverse problems and Bayesian solution methods in astronomy

Statistical analyses of measurements that can be described by statistical models are of essence in astronomy and in scientific inquiry in general. The sensitivity of such analyses, modelling approaches, and the consequent predictions, is sometimes highly dependent on the exact techniques applied, and improvements therein can result in significantly better understanding of the observed system of interest. Particularly, optimising the sensitivity of statistical techniques in detecting the faint signatures of low-mass planets orbiting the nearby stars is, together with improvements in instrumentation, essential in estimating the properties of the population of such planets, and in the race to detect Earth-analogs, i.e. planets that could support liquid water and, perhaps, life on their surfaces. We review the developments in Bayesian statistical techniques applicable to detections planets orbiting nearby stars and astronomical data analysis problems in general. We also discuss these techniques and demonstrate their usefulness by using various examples and detailed descriptions of the respective mathematics involved. We demonstrate the practical aspects of Bayesian statistical techniques by describing several algorithms and numerical techniques, as well as theoretical constructions, in the estimation of model parameters and in hypothesis testing. We also apply these algorithms to Doppler measurements of nearby stars to show how they can be used in practice to obtain as much information from the noisy data as possible. Bayesian statistical techniques are powerful tools in analysing and interpreting noisy data and should be preferred in practice whenever computational limitations are not too restrictive.

Means and challenges in international operations for a Finnish mobile application provider

Master’s Thesis concentrates to means and challenges in international operations for a Finnish mobile application provider Small Planet Oy during its various company stages from founding till maturing and during macro economical phases between year 1998 and 2008. Small Planet has just celebrated its 10 year anniversary and is therefore quite an extraordinary company which has survived all the highs and lows during past ten years and which has operated in the market as long as the whole mobile application industry has existed. Master’s Thesis describes possibilities for a company’s internationalization with different entry modes like exporting, licensing, investment entry and co-operative operations which are suitable for a mobile application provider. Unsuitable entry modes like franchising or contract manufacturing are not explained. The goal has been to analyze Small Planet’s international operations and to make conclusions from the practical experiences. Analysis and conclusions shall help Small Planet in its international operations in the future and should give insight to other mobile application companies and their managers who are in the situation of planning their own international operations. Results show that the best ways for Small Planet to internationalize its operations has been the co-operation with a big domestic client and the co-operation with Finnish operator infrastructure providers which have complementary products with Small Planet. Through these co-operations Small Planet has got lot of new international clients. Same time financial risks and investment need for international operations have been low. Co-operative international sales can be the most efficient international entry mode for a mobile application provider.