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  2. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    Marketing mix modeling. Marketing Mix Modeling ( MMM) is used to estimate the impact of various marketing tactics ( marketing mix) on sales, which can then be used to forecast the impact of future sets of tactics. MMMs use statistical models, such as multivariate regressions, and use sales and marketing time series data.

  3. Mixed model - Wikipedia

    en.wikipedia.org/wiki/Mixed_model

    A mixed model, mixed-effects model or mixed error-component model is a statistical model containing both fixed effects and random effects. [1] [2] These models are useful in a wide variety of disciplines in the physical, biological and social sciences. They are particularly useful in settings where repeated measurements are made on the same ...

  4. Marketing mix - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix

    The marketing mix is the set of controllable elements or variables that a company uses to influence and meet the needs of its target customers in the most effective and efficient way possible. These variables are often grouped into four key components, often referred to as the "Four Ps of Marketing." These four P's are :

  5. Conjoint analysis - Wikipedia

    en.wikipedia.org/wiki/Conjoint_analysis

    Conjoint analysis is a survey-based statistical technique used in market research that helps determine how people value different attributes (feature, function, benefits) that make up an individual product or service. The objective of conjoint analysis is to determine what combination of a limited number of attributes is most influential on ...

  6. Generalized linear mixed model - Wikipedia

    en.wikipedia.org/wiki/Generalized_linear_mixed_model

    Here and are the fixed effects design matrix, and fixed effects respectively; and are the random effects design matrix and random effects respectively. To understand this very brief definition you will first need to understand the definition of a generalized linear model and of a mixed model .

  7. Proximate and ultimate causation - Wikipedia

    en.wikipedia.org/wiki/Proximate_and_ultimate...

    A proximate cause is an event which is closest to, or immediately responsible for causing, some observed result. This exists in contrast to a higher-level ultimate cause (or distal cause) which is usually thought of as the "real" reason something occurred. The concept is used in many fields of research and analysis, including data science and ...

  8. Glossary of biology - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_biology

    This glossary of biology terms is a list of definitions of fundamental terms and concepts used in biology, the study of life and of living organisms. It is intended as introductory material for novices; for more specific and technical definitions from sub-disciplines and related fields, see Glossary of cell biology, Glossary of genetics, Glossary of evolutionary biology, Glossary of ecology ...

  9. Biomimetics - Wikipedia

    en.wikipedia.org/wiki/Biomimetics

    Biomimetics or biomimicry is the emulation of the models, systems, and elements of nature for the purpose of solving complex human problems. [2] [3] [4] The terms "biomimetics" and "biomimicry" are derived from Ancient Greek: βίος ( bios ), life, and μίμησις ( mīmēsis ), imitation, from μιμεῖσθαι ( mīmeisthai ), to ...