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response surface


'response surface' can also refer to...

response surface

response surface

Human antibody response to surface layer proteins in Clostridium difficile infection

Effects of near-surface conductance on global satellite induction responses

Effects of Surface Cues on Macaque Inferior Temporal Cortical Responses

The innate immune response to Aspergillus fumigatus at the alveolar surface

Photocurrent responses from pyrene-modified RNA duplexes on gold surface

Response of Rice (Oryza sativa) with Root Surface Iron Plaque Under Aluminium Stress

Ecological responses of Amazonian forests to El Niño-induced surface fires

Implications of a non-adiabatic density gradient for the Earth's viscoelastic response to surface loading

Cell-surface signaling in Pseudomonas: stress responses, iron transport, and pathogenicity

Just scratching the surface: an expanding view of the Cpx envelope stress response

Adaptive surface antigen variation in Mycoplasma bovis to the host immune response

How Intracellular Bacteria Survive: Surface Modifications That Promote Resistance to Host Innate Immune Responses

Analysis of Antibody Response to the Outer Surface Protein Family in Lyme Borreliosis Patients

The Importance of Surface Area and Specific Reactivity in the Acute Pulmonary Inflammatory Response to Particles

Kinetics of Antibody Responses to Plasmodium falciparum–Infected Erythrocyte Variant Surface Antigens

MF59 Adjuvant Enhances the Antibody Response to Recombinant Hepatitis B Surface Antigen Vaccine in Primates

Victorin Triggers Programmed Cell Death and the Defense Response via Interaction with a Cell Surface Mediator

 

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A surface in (n+1) dimensions that represents the variations in the expected value of a response variable (see regression) as the values of n explanatory variables are varied. Usually the interest is in finding the combination that gives a global maximum (or minimum). One interactive procedure is the method of steepest ascent (or descent), in which, in a sequence of experiments, the points corresponding to the successive values of the explanatory variables are collinear and lie on the estimated line of greatest (or least) slope that passes through the origin of the original experimental design.

There are several specialist experimental designs for efficient experimentation near the supposed optimum. With n explanatory variables a central composite design consists of observations at vertices of a hypercube, together with repeated observations at the origin and observations on each axis at a distance c from the origin. If c=√n then all the non-central points are at the same distance from the origin and the design is an example of a rotatable design. A Box–Behnken design uses fewer observations by replacing the observations at the vertices by observations at the mid-points of the edges. See also factorial experiment; Nelder–Mead simplex method.

Subjects: Probability and Statistics.


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