Anova and Ancova

Rutherford, Andrew

doi:10.1002/9781118491683

Cited by 169 publications

(56 citation statements)

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“…We model our data collection using factorial experiment design [5] and use ANOVA [10] analysis, discussed in Section Six. This approach is not limited to WiMAX and is appropriate for other networking technologies.…”

Section: Simulation Designmentioning

confidence: 99%

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Cost-effective quality assurance of wireless network security

Cameron

Brooks

Deng

2013

Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop

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Wireless communication is a common part of modern society, incorporated into new products and services bringing additional security risks and requirements. To meet these needs and assure quality assurance, thorough wireless security testing needs to be completed before new products or services are released. Meticulous testing is expensive, consuming resources and time. This paper presents a general method for network security analysis and experimentation that reduces time and costs. Factorial experiment design tests multiple factors in parallel, while producing robust, repeatable and statistically significant results by treating all other parameters as noise when testing first order effects. Also, second and third order effects can be analyzed with less significance. This paper presents this approach used in the experimental design and statistical analysis of a WiMAX denial of service (DoS) attack targeting bandwidth contention resolution system parameters of IEEE 802.16e. We outline how this approach can be used as a cost-effective method for network security analysis.

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Section: Simulation Designmentioning

confidence: 99%

“…We use analysis of variance (ANOVA) [10] on our simulation results to isolate which parameters and/or parameter combinations affect SS vulnerability to DoS most significantly. ANOVA analysis allows analysis of 1st, 2nd and 3rd order parameter effects on network performance.…”

Section: Anova Analysismentioning

confidence: 99%

Cost-effective quality assurance of wireless network security

Cameron

Brooks

Deng

2013

Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop

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“…There are many texts that provide a more complete and formal account (e.g. [41,42] Multivariable (or multiple for short) linear regression is a powerful technique whereby several sources of variance can be specified to provide a good predictive model. It heeds the scientific imperative for a good general account of how variables relate to each other, rather than being stopped at the elementary or preliminary level with a list of relevant variables, between which some unspecified relationship may exist.…”

Section: Appendix a Statistical Notesmentioning

confidence: 99%

Air-conduction estimated from tympanometry (ACET) 1: Relationship to measured hearing in OME

2009

International Journal of Pediatric Otorhinolaryngology

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We name the HL prediction formula "ACET" - Air Conduction Estimated from Tympanometry. We do not recommend replacing audiometry with tympanometry, particularly not at first assessment. However, where the diagnosis is, or likely from history to be, OME (even if fluid is absent on test day), the informativeness of further air-conduction audiometry on the same or later occasion may not always be worth the further effort or cost. It is therefore clinically useful to have a dB measure, from an evidence-based formula justifying a principled estimate. Non-clinical uses include imputation when research data are missing, and non-intensive applications where audiometry is impracticable, e.g. field clinics and large scale or longitudinal research. A companion paper shows how the part of the air-conduction HL variance that is not explicable by ACET, also offers a surrogate, but for bone-conduction HL (BC), where BC testing may be problematic, as in the very young. This surrogate can also define cases needing true BC testing.

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“…Details on GLM and ANOVA can be found in McCullagh & Nelder (1999) or Rutherford (2011). procedure was performed on the same field, which was uncultivated and contained grain remains from the previous crop year.…”

Section: Methodsmentioning

confidence: 99%

Vibration analysis on driver’s seat of agricultural tractors during tillage tests

Γιαλαμάς

Gravalos

Kateris

et al. 2017

Span. j. agric. res.

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The vibration of the driver's seat of agricultural tractors was investigated during three alternative tillage operations. Three tractors including a range of specifications were considered, at a range of forward speeds. The interactions between the tractors, implements and speeds were examined using the SPSS program and the GLM-ANOVA method. The results analysis indicated that the tractors played the first major role in vibration development in the lateral axis and was followed by the implements. In contrast, the implements played the first major role in the development of vibration in the horizontal axis and are followed by factor tractors. The statistically significant effect in vertical and horizontal axes shows the factor implements. In addition, the statistically significant effect in the vertical and lateral axes shows again the implements to be the most significant factor. Of the implements, the plough shows the highest vibration and displays statistically significant difference in comparison with the other implements.

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Anova and Ancova

Cited by 169 publications

References 0 publications

Cost-effective quality assurance of wireless network security

Cost-effective quality assurance of wireless network security

Air-conduction estimated from tympanometry (ACET) 1: Relationship to measured hearing in OME

Vibration analysis on driver’s seat of agricultural tractors during tillage tests

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