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 respondent choice or decision making. A controlled set of potential products or services is shown to survey respondents and by analyzing how they make choices among these products, the implicit valuation of the individual elements making up the product or service can be determined. These implicit valuations (utilities or part-worths) can be used to create market models that estimate market share, revenue and even profitability of new designs. Conjoint analysis originated in mathematical psychology and was developed by marketing professor Paul E. Green at the Wharton School of the University of Pennsylvania. Other prominent conjoint analysis pioneers include professor V. "Seenu" Srinivasan of Stanford University who developed a linear programming (LINMAP) procedure for rank ordered data as well as a self-explicated approach, and Jordan Louviere (University of Iowa) who invented and developed choice-based approaches to conjoint analysis and related techniques such as best–worst scaling. Today it is used in many of the social sciences and applied sciences including marketing, product management, and operations research. It is used frequently in testing customer acceptance of new product designs, in assessing the appeal of advertisements and in service design. It has been used in product positioning, but there are some who raise problems with this application of conjoint analysis. Conjoint analysis techniques may also be referred to as multiattribute compositional modelling, discrete choice modelling, or stated preference research, and are part of a broader set of trade-off analysis tools used for systematic analysis of decisions. These tools include Brand-Price Trade-Off, Simalto, and mathematical approaches such as AHP, PAPRIKA, evolutionary algorithms or rule-developing experimentation. (Wikipedia).
In this video, I provide some intuition behind the concept of convolution, and show how the convolution of two functions is really the continuous analog of polynomial multiplication. Enjoy!
From playlist Real Analysis
Differential Equations | Convolution: Definition and Examples
We give a definition as well as a few examples of the convolution of two functions. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Differential Equations
Conjugate of products is product of conjugates
For all complex numbers, why is the conjugate of two products equal to the product of their conjugates? Basic example is discussed. Free ebook http://bookboon.com/en/introduction-to-complex-numbers-ebook
From playlist Intro to Complex Numbers
No Butts About it: Rectal Microbicides and HIV Prevention for Anal Intercourse
Recorded on May 19, 2014.
From playlist Public Health: Graduate Seminars (2013 - 2015)
Concavity and Parametric Equations Example
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Concavity and Parametric Equations Example. We find the open t-intervals on which the graph of the parametric equations is concave upward and concave downward.
From playlist Calculus
Convolution In this video, I introduce the notion of convolution and give an example and some applications. It is a very way of multiplying two functions that is useful analysis and PDEs. Here is the demo I showed: https://phiresky.github.io/convolution-demo/ Convolution Intuition: http
From playlist Partial Differential Equations
Evaluating the composition of cosine and sine inverse
👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric function and an inverse trigonometric function, you first evaluate the one inside the parenthesis. We
From playlist Evaluate a Composition of Inverse Trigonometric Functions
Python - Classifying Text Part 1
Lecturer: Dr. Erin M. Buchanan Summer 2019 https://www.patreon.com/statisticsofdoom This one was posted way before the others - part two is here: https://youtu.be/f7HFeeUzkJQ In this video, you will learn some basic terminology for classification - how to extract features, train, and t
From playlist Natural Language Processing
Pierre-Louis LIONS a participé au mois thématique 2013 au CIRM consacré aux probabilités. Médaille Fields 1994, Pierre-Louis LIONS est le fils du mathématicien Jacques-Louis Lions. Reçu major à Polytechnique et à l'ENS, Pierre-Louis Lions entre à l'École normale supérieure (Paris) en 1975.
From playlist Lagrange Days at CIRM
MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View the complete course: https://ocw.mit.edu/1-258JS17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62AU7iNniqVoMl8C64tIOVk This lecture discussed
From playlist MIT 1.258J Public Transportation Systems, Spring 2017
Computational Advances in Social Science Experiments
Dr. Lisa Argyle, Assistant Professor of Political Science at Brigham Young University, talks about how experiments can be advanced using computational methods.
From playlist SICSS 2022
From playlist All Videos
From playlist Guest Speakers
How to evaluate the composition of tangent inverse and cotangent
👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric function and an inverse trigonometric function, you first evaluate the one inside the parenthesis. We
From playlist Evaluate a Composition of Inverse Trigonometric Functions
How to solve an equation with the multiple angle of secant
👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Evaluate the cosine of inverse tangent - free online tutoring
👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric function and an inverse trigonometric function, you first evaluate the one inside the parenthesis. We
From playlist Evaluate a Composition of Inverse Trigonometric Functions
Interview at Cirm : David Ruelle
David Ruelle est professeur honoraire de Physique Théorique à l’Institut des Hautes Études Scientifiques (IHÉS). http://www.ihes.fr/~ruelle/ Son parcours professionnel • 1955 : diplômes de : candidat ingénieur civil de la Faculté polytechnique de Mons. candidat en sciences mathématiqu
From playlist Mathematical Physics
Future Evolution of High-Performance Microprocessors
September 27, 2006 lecture by Norm Jouppi for the Stanford University Computer Systems Colloquium (EE 380). The evolution of high-performance microprocessors has recently gone through a significant inflection point; such issues will be discussed, as well as the likely future of high per
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
William Lane Craig Retrospective III: Divine Foreknowledge | Closer To Truth Chats
Analytic philosopher and Christian apologist William Lane Craig discusses God’s Omniscience, God knowing everything, and reconciling God knowing the future with human free will. We look back on his 1987 book, The Only Wise God: The Compatibility of Divine Foreknowledge and Human Freedom.
From playlist Big Questions About God - Closer To Truth - Core Topic
Convolution in the time domain
Now that you understand the Fourier transform, it's time to start learning about time-frequency analyses. Convolution is one of the best ways to extract time-frequency dynamics from a time series. Convolution can be conceptualized and implemented in the time domain or in the frequency doma
From playlist OLD ANTS #3) Time-frequency analysis via Morlet wavelet convolution