Sökning: "statistik shopping"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden statistik shopping.

  1. 1. Adapting to Change: How COVID-19 Shaped Online Consumer Behavior A comparative study between the United Kingdom and Sweden aimed at analysing consumption variations in online shopping and online gambling.

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Mimmi Bergström; Tuba Tezcan; [2023-07-21]
    Nyckelord :COVID-19; Restrictions; Online gambling; Online shopping; Consumption behaviour; Consumer theory; Substitution effect; Income effect; Relative price; OLS-regression;

    Sammanfattning : The purpose of this study is to investigate the impact of the COVID-19 pandemic on online shopping and online gambling, as well as the differences between Sweden and the United Kingdom. Both social isolation and online consumption habits have been significantly impacted by the pandemic. LÄS MER

  3. 2. Klädproduktion av gamla textilier i fysisk butik

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Elias Makrous; Julia Rasch; [2023]
    Nyckelord :;

    Sammanfattning : Detta arbete undersöker hur cirkulär ekonomi kan implementeras in i klädindustrin med fokus på stickade och virkade textilier. Detta genom att studera hur direkt återproduktion av kläder i konsumentbutik skulle se ut, med att ta inspiration från ett redan befintligt koncept. LÄS MER

  4. 3. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Jonatan Ay; Jamil Azrak; [2022]
    Nyckelord :statistics; machine learning; applied mathematics; e-commerce; statistik; maskininlärning; tillämpad matematisk statistik; e-handel;

    Sammanfattning : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. LÄS MER

  5. 4. Forecasting Volume of Sales During the Abnormal Time Period of COVID-19. An Investigation on How to Forecast, Where the Classical ARIMA Family of Models Fail

    Master-uppsats, KTH/Matematisk statistik

    Författare :Christina Ghawi; [2021]
    Nyckelord :Time series forecasting; ARIMA family of models; abnormal time period; extreme events; COVID-19 pandemic; time series outliers;

    Sammanfattning : During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. LÄS MER

  7. 5. A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :José Méndez; [2021]
    Nyckelord :SVM; Support Vector Machines; Semisupervised Learning; Machine Learning; Semi-supervised learning;

    Sammanfattning : Recommender systems are widely used in e-commerce websites to improve the buying experience of the customer. In recent years, e-commerce has been quickly expanding and its growth has been accelerated during the COVID-19 pandemic, when customers and retailers were asked to keep their distance and do lockdowns. LÄS MER