'Response surface' presentation slideshows

RESPONSE SURFACE METHODOLOGY (R S M)

RESPONSE SURFACE METHODOLOGY (R S M). Par Mariam MAHFOUZ. Remember that: General Planning. Part I A - Introduction to the RSM method B - Techniques of the RSM method C - Terminology D - A review of the method of least squares Part II A - Procedure to determine optimum

2.27k views • 71 slides

Use of Proc GLM to Analyze Experimental Data

Use of Proc GLM to Analyze Experimental Data . Animal Science 500 Lecture No. October , 2010. PROC GLM. The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are: Regression, Analysis of variance,

1.22k views • 57 slides

Good Morning

Good Morning. RESPONSE SURFACE METHODOLOGY (R S M). Par Mariam MAHFOUZ. Organization of the talk. 10.h -10h.30m: Part I 10h.30m - 10h.45m: Questions about part I 10h.45m - 11h.45m: Part II 11h.45m - 12h.: Questions and discussion. General Planning. Part I

627 views • 48 slides

Competition experiments

Competition experiments. What is competition?. What are possible response variables for a competition experiment?. Some possible types of competition questions Does associate species X affect the growth/fitness of focal species Y?

797 views • 35 slides

Multiple Regression Analysis

Multiple Regression Analysis. Week 12 GT00303. Multiple Regression. In Week 11, we covered Simple Regression Model which analyzes the relationship between the dependent variable (y) and another ONE independent variable (x).

827 views • 35 slides

ARDB Centre for Aerospace Systems Design & Engineering

ARDB Centre for Aerospace Systems Design & Engineering. Presentation on Progress to AR&DB Technical Committee November 22, 2001. Time Line. August 1997 Presentation to AR&DB TC August 1998 ARDB Sanction

528 views • 35 slides

Data Mining Manufacturing Data

Data Mining Manufacturing Data. Dave E. Stevens Eastman Chemical Company Kingsport, TN. Presentation Outline. Intro: Data Mining Manufacturing Data Data Preparation P rincipal C omponent A nalysis P artial L east S quares PLS Discriminate Analysis. Manufacturing Data Then and Now.

476 views • 34 slides

Design and Analysis of Multi-Factored Experiments

Design and Analysis of Multi-Factored Experiments. Design Resolution and Minimal-Run Designs. Design Resolution for Fractional Factorial Designs. The concept of design resolution is a useful way to catalog fractional factorial designs according to the alias patterns they produce.

543 views • 32 slides

CHEN 4860 Unit Operations Lab

459 views • 32 slides

Experimental Design

402 views • 24 slides

CHAPTER 13 M ODELING C ONSIDERATIONS AND S TATISTICAL I NFORMATION

285 views • 19 slides

Design of Experiments

Design of Experiments. CHM 585 Chapter 15. Experimentation is one of the most important methods in the Quality Movement -- the quest for continuous improvement in our products and processes.

274 views • 18 slides

Comments on Tradeoffs and Issues

Comments on Tradeoffs and Issues William R. Shadish University of California, Merced Key Tradeoffs Causal vs noncausal questions Bias control vs context-specific feasibility Internal vs External Validity Clarifying Some Issues About the Choice of Design

573 views • 13 slides

Curvilinear Regression

Curvilinear Regression. Modeling Departures from the Straight Line (Curves and Interactions). How does polynomial regression test for quadratic and cubic trends?

889 views • 13 slides

Workshop Design of Experiments

Workshop Design of Experiments. Design Exploration. Workshop. Goal Showing Design Exploration DOE scenario, and creating response charts Model Description The boundary conditions have been applied as shown here. Model is created in Design Modeler Input parameters

306 views • 13 slides

Curvilinear Regression

Curvilinear Regression. Modeling Departures from the Straight Line (Curves and Interactions). How does polynomial regression test for quadratic and cubic trends?

255 views • 13 slides

Robust Parameter Design and Process Robustness Studies

Robust Parameter Design and Process Robustness Studies. Robust parameter design (RPD): an approach to product realization activities that emphasizes choosing the levels of controllable factors (parameters) in a process or product to achieve two objectives:

755 views • 12 slides

NWS Partners Meeting 2010

206 views • 11 slides

OM: if PS is small, add diluent and use blend style

Input Package. Acknowledgement. N. Dose/Sol >250?. This work is being supported by Capsugel. We also gratefully acknowledge Pfizer Central Research for the gift of piroxicam. Y. Permeability > 0.0004?. N. BCS -I or III. BCS -IV. BCS -II. SSM. Y. CAPEX. Dose. Low < 50mg.

227 views • 1 slides

Effect of Osmotic Dehydration Parameters on Papain Enzyme Activity of Carica papaya L.

Effect of Osmotic Dehydration Parameters on Papain Enzyme Activity of Carica papaya L. Nurul Asyikin Zaki*, Rosmaria Abu Darim, Liza Md Salleh, Ida Idayu Muhamad.

397 views • 1 slides