Results 11 to 20 of about 501,153 (319)

Analysis of Covariance of Reinforced Balanced Incomplete Block Designs With a Single Explanatory Variable [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2014
Reinforced balanced incomplete block designs (BIBDs) are very useful in statistical planning of experiments as they can be constructed for any number of treatments for given numbers of replications.
D.K. Ghosh, M.G. Bhatt, S.C. Bagui
doaj   +2 more sources

Balanced incomplete block designs: selected business-related applications and usage caveats [PDF]

open access: yesInnovative Marketing, 2016
Whenever respondents must rank-order a large number of items and/or the reliability of their rankings may be questionable, balanced incomplete block designs (BIBDs) represent a more effective means for doing so than either complete rankings or paired ...
David R. Rink
doaj   +2 more sources

Advanced row-column designs for animal feed experiments

open access: yesIndian Journal of Animal Sciences, 2023
Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective.
PRAKASH KUMAR   +5 more
doaj   +1 more source

Order Restricted Randomized Block Designs

open access: yesJournal of Agricultural Biological and Environmental Statistics, 2023
Field experiments are run under two competing objectives, high precision and minimal cost. The precision can be increased either by using sound experimentation techniques that account for the sources of variation with reasonable statistical models or by ...
Omer Ozturk   +2 more
semanticscholar   +1 more source

An Optimisation Method of Construction for Warping Copper Plates and Engines Using Complete Block Designs with Some Special Types of Graphs

open access: yesAdvances in Materials Science and Engineering, 2023
The application of bipartite and regular graphs plays a vital role in the area of engineering, mathematical sciences, design of experiments, and medical fields.
P. Karthikeyan   +4 more
semanticscholar   +1 more source

Analysis of Mixed Effects Model for Randomized Block Designs with Both-sided Neighbor-Effects

open access: yesInternational Journal of Statistical Sciences, 2023
In this study we confine our attention to Randomized Block Designs (RBDs) with random block effects in the presence of both-sided neighbor-effects and focus our attention to (i) estimation of variance components, and (ii) estimation of treatment ...
Sobita Sapam, Bikas K. Sinha
semanticscholar   +1 more source

A Comparative Study of Muenster Socket versus Split Socket with Step-Up Hinge on Very Short Transradial Amputees

open access: yesJournal of Integrated Health Sciences, 2023
Persons with very short transradial stump find extreme difficulty in performing daily routine activities. The Muenster socket prosthesis was compared to split socket with step-up hinge prosthesis in this study, while both the designs were compared in ...
Rani Kumari
doaj   +1 more source

Relative efficiency of alpha lattice design over randomized complete block design in yield trials of chickpea (Cicer arietinum L.) [PDF]

open access: yesپژوهش‌های حبوبات ایران, 2014
Structure of alpha lattice designs makes removing the effects of incomplete blocks from residual effect of plots, and maximizes precision of comparison between genotypes at the same incomplete block.
Homayoun Kanouni, Mohammad Imtiaz
doaj   +1 more source

An Uniform Embedding Steganography Algorithm Based on Block Entropy [PDF]

open access: yesJisuanji gongcheng, 2017
In Uniform Embedding Revisited Distortion(UERD) algorithm,the distortion function only considers the number of nonzero coefficients and does not take into account the influence of the statistical distribution on the embedding position,so this paper ...
WEI Weiyi,YANG Yang
doaj   +1 more source

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification

open access: yesIEEE Access, 2020
Residual learning is known for being a learning framework that facilitates the training of very deep neural networks. Residual blocks or units are made up of a set of stacked layers, where the inputs are added back to their outputs with the aim of ...
Javier Naranjo-Alcazar   +5 more
doaj   +1 more source

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