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Showing result 1 - 5 of 10 essays matching the above criteria.

  1. 1. Exchange Rate Analysis Between the U.S. Dollar and the Japanese Yen

    University essay from Uppsala universitet/Statistik, AI och data science

    Author : Yuta Sakiyama; [2023]
    Keywords : ;

    Abstract : The exchange data between the U.S. Dollar and Japanese Yen are analyzed with three models called the Auto-Regressive Integrated Moving- Average (ARIMA) model, the Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) model, and the Fractional Differencing model. READ MORE

  3. 2. Comparison of impact on stock market volatility by COVID-19 and the 2008 financial crisis

    University essay from Umeå universitet/Nationalekonomi

    Author : Anand Enkhtur; [2022]
    Keywords : ;

    Abstract : The aim of this thesis is to analyse the volatility of 11 sectorial stock return data of S&P 500 Index during the 2008 global financial crisis and the recent COVID-19 global pandemic. S&P 500 is a large stock market index that tracks the performance of 500 companies that are some of the largest in the world. READ MORE

  4. 3. Evidence and perceptions on GUI test automation : An explorative Multi-Case study

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Chahna Polepalle; Ravi Shankar Kondoju; [2017]
    Keywords : GUI test automation; when to automate; testability requirements; automation waste; maintenance;

    Abstract : Context. GUI-based automation testing is a costly and tedious activity in practice. As GUIs are well-known for being modified and redesigned throughout the development process, the corresponding test scripts are not valid anymore thereby being a hindrance to automation. READ MORE

  5. 4. Evaluating model selection criteria for nuisance models in causal inference : (when the true models are finite mixtures)

    University essay from Umeå universitet/Statistik

    Author : Samuel Hellman; [2016]
    Keywords : ;

    Abstract : When using inverse probability weighting (IPW) and doubly robust (DR) estimators for estimating the causal effect we need to use nuisance models for estimating the propensity scores, and for the DR estimator also the outcome regression. These nuisance models are often created using a selection of covariates, higher order and interaction terms, which require some model selection criteria. READ MORE

  6. 5. Construction of the Berkeley Innovation Index: A Higher-Order Item Response Theory Model Approach

    University essay from Lunds universitet/Matematisk statistik

    Author : Johan Eng Larsson; Alexander Fred-Ojala; [2016]
    Keywords : Index Construction; Innovation Capability; Item Response Theory; Higher-Order Latent Trait Estimation; Bayesian Inference; Markov Chain Monte Carlo; Feature Selection; Mathematics and Statistics;

    Abstract : The Berkeley Innovation Index (BII) is a tool developed for assessment of individual innovation capability. The index is based on responses to a survey that constitutes of questions linked to domain abilities, i.e., sub-traits, that are hypothesized to govern an individual's overall innovation ability. READ MORE