A Constrained Prediction Profiler for Partial Least Squares Regression Model in JMP
A Constrained Prediction Profiler for Partial Least Squares Regression Model in JMP Zhiwu Liang, Procter & Gamble ...
liang_zwA Constrained Prediction Profiler for Partial Least Squares Regression Model in JMP Zhiwu Liang, Procter & Gamble ...
liang_zwSilvio Miccio, Procter & Gamble Senior Scientist Increase efficiency and model applicability domain when testing options that are at first glance multilevel categorical factors &n...
silvio_silvioThis presentation will show how to create a special non linear model with JMP. This model will be apply to several sets of data in one step and parameters quickly collected for stat. a...
noelle_boussac1Don McCormack, Technical Enablement Engineer, JMP Accurate characterization of repeated measures mixed models depends on assumptions about the correlation of observations across meas...
DonMcCormackMany models used to describe consumer goods quality/performance rely on a first principle validated backbone that is non-linear. It is always a challenge for the experimenter to plan an optim...
liang_zwcode{white-space: pre;} Regression Control Charting Using the Random Coefficient Regression Method JMP ® Discovery Summit Europe 2017, Prague Pius Dahinden, PhD, Manager Analyt...
pdahindenMartin Owen (Director of Insight by Design, affiliated to Prismtc, and part-time lecturer at Leicester School of Pharmacy) Walkiria Schlindwein (Associate Professor of Pharmaceutics at Leicest...
Martin-OwenPedro Manuel Saraiva, University of Coimbra, Portugal After some decades in an academic career, during which I used a strong statistical background to conduct research activities, I was given ...
stan_koprowskiRon S. Kenett, University of Turin This talk is a journey meandering between science and business analytics. To provide context I will first list, very briefly, my role models. Specifically, I...
stan_koprowskiPictures from the Gallery 2: Select Advanced Graph Builder Views Scott Lee Wise - JMP Beacon Technical Manager A picture is said to be worth a thousand words, and surely many of the the ...
scwiseJianfeng Ding Sr Research Statistician Developer Data sets resulting from sensory and consumer studies can be quite large, with many different columns and data types. A variety of multiv...
jianfeng_dingI am attaching a zip file for the slides and journal from the Integrated Process Improvement Using the Second-Generation Quality Tools in JMP tutorial.
Laura_LancasterGalit Shmueli National Tsing Hua University Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction and descr...
stan_koprowskiTriskaidekaphilia. This word means “love of the number 13.” With the release of JMP 13, we made this word meaningful. This session is a tour of some feature highlights of the new release.
stan_koprowskijClick! Revolutionizing Data Analysis and Delivery in Semiconductor High Volume Manufacturing Kevin Lennon, Intel Ireland Adrian Porter, Intel Ireland Contents Abstract ...
kevin_lennonRobert Anderson JMP Senior Systems Engineer Scientists and engineers need to be able to find the best possible model for their process or product and correctly identify which factors...
robert_andersonRobert Reul Managing Director Isometric Solutions Bayesian Design and Analysis Delivers Profitable Market Share Gains A major appliance repair provider sought to profi...
RobReulCategorical columns—rating scales, classifications, and check all that apply—are often treated as if they are a “simple” data source, but the math behind the analysis is complex. This can leave a new...
melinda_thielbaWayne Levin, Farhan Mansoor Predictum Inc. Knowledge is the most important asset a company has; many companies employ JMP to efficiently and effectively generate it. But many questio...
wjlevinVince Faller, Predictum Inc. Reproducibility is the ability of an entire experiment or study to be duplicated, either by the same researcher or by someone else working independe...
wjlevinSebastian Hoffmeister, Trainer and Statistical Consultant, STATCON Decision trees are a well-known method when it comes to data mining and predictive modeling. Compared to other methods, ...
shoffmeisterThe statistical process control gives the opportunity to reduce the risk of batch faults and therefore potentially reduces the reconditioning costs or the loss of a whole batch. Six Sigma is a meas...
m_stankeStephen Pearson Chemical Process Statistician, Syngenta As Xan Gregg has demonstrated at recent Discovery Summits (https://community.jmp.com/docs/DOC-8270, https://community.jmp.com/docs...
stephen_pearsonDavid Calder Six Sigma Master Black Belt, Magna International Wayne J. Levin, President, Predictum Inc. Over the years, automotive exterior parts have become more complex and substantially l...
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