The marketing research analyst now has access to a much broader array of sophisticated techniques with which to explore the data. Programs like SAS and SPSS, once restricted to mainframe utilization, are now readily available in Windows-based, menu-driven packages. Over the past 20 years, the dramatic increase in desktop computing power has resulted in a corresponding increase in the availability of computation intensive statistical software. The researcher realizes that each question requires a specific type of analysis, and reaches into the analysis tool bag for. Fortunately, all of these questions are ones to which solid, quantifiable answers can be provided.Īn astute marketing researcher quickly develops a plan of action to address the situation. Do they have better widgets? Do their products appeal to different types of customers? What is going on in the market?Īll of these situations are real, and they happen every day across corporate America. Situation 3: During the annual budget meeting, the sales manager wants to know why two of his main competitors are gaining share. He asks, “Which one should I use? They all look pretty good to me.” Situation 2: Another harried executive (they all seem to be that way) calls you into his office and shows you three proposed advertising campaigns for next year. Oh, yeah, we don’t know what price we can get for it either.” She says, “You’re the marketing research whiz-tell me how many of this new red widget we are going to sell next year. Situation 1: A harried executive walks into your office with a stack of printouts.
#MULTIVARIATE DATA ANALYSIS WITH EXCEL PLUS#
Sensor array time series on licorice productsįluorescence of Yoghurt experiment plus Riboflavin reference NIR/NIT and Raman spectra of active substance in tablets NIR and IR spectroscopy analysis of 32 marzipan samples Low-field NMR measured on four gadoid fish species NMR measurements for distribution of water in fresh cod Kinetic fluorimetric determination of catecholaminesĪuto-fluorescence spectroscopy of dry-cured Parma ham processingįluorescence excitation-emission measurements of fish muscle extractsįluorescence of muscle and connective tissue from cod and salmon Sensory and physical (uniaxial compression, NIR, LF-NMR) texture measurement of potatoesįollows a three-way four-component PARAFAC model, 27 samples. Influence of temperature on vibrational spectra NIR spectra of corn samples for standardization & preprocessing benchmarking Three-way, sensory profiling, fixed vocabulary Three-way, spectral, curve resolution, calibrationįor testing variables selection and calibration algorithmsĬourtesey of S. Six-way designed data used for GEMANOVA analysis Three-way, five samples, curve resolution, 2. Wine samples analyzed by GC-MS and FT-IR instruments Lipoprotein analysis of human plasma samples NMR measured on Propanol, butanol and pentanol in a ternary experimental design ICP-AES measurements of digest of an autocatalytic material The data from 1H-NMR analysis of 40 table wines, different origin and color Some example tensors with known problems such as degeneracy, swamps and local minimaįluorescence EEM data on human blood plasmaġH NMR data of urine from thirty-two rats, fed a diet of onion by-product Oil samples analyzed by HPLC with charged aerosol detector Soil samples from long-term field experiment in Abisko, northern SwedenĪutomatically find PARAFAC2 components of hyphenated chromatographic dataīiomarker, fluorescence and 1H-NMR data from case/control study on colorectal cancer The samples for this study were 16 pork carcasses
NMR, LC-MS and EEM prototypical experimental coupled data sets for JODA Three-way data from the work Richard Harshman
#MULTIVARIATE DATA ANALYSIS WITH EXCEL CODE#
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