Multiple Comparisons

Klockars, Alan J.; Sax, Gilbert

doi:10.4135/9781412985185

Cited by 116 publications

(62 citation statements)

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“…The problem of multiple testing [14] is closely related to overfitting. Standard statistical tests assume that only one hypothesis is being tested, but modern learners can easily test millions before they are done.…”

Section: Overfitting Has Many Facesmentioning

confidence: 99%

A few useful things to know about machine learning

2012

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Machine learning algorithms can figure out how to perform important tasks by generalizing from examples. This is often feasible and cost-effective where manual programming is not. As more data becomes available, more ambitious problems can be tackled. As a result, machine learning is widely used in computer science and other fields. However, developing successful machine learning applications requires a substantial amount of "black art" that is hard to find in textbooks. This article summarizes twelve key lessons that machine learning researchers and practitioners have learned. These include pitfalls to avoid, important issues to focus on, and answers to common questions.

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Section: Overfitting Has Many Facesmentioning

confidence: 99%

A few useful things to know about machine learning

2012

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“…Furthermore, in each treatment (combinations of GA 3 and CS treatment) the germination percentage data as well as MGT data of the three provenances were analysed by one-way ANOVA. The means were compared using the Duncan test (Klockars and Sax, 1986). All statistical analyses were carried out using SPSS 21.0 (SPSS, Inc., USA).…”

Section: Discussionmentioning

confidence: 99%

Effects of Cold Stratification and Ga3 on Germination Ofarbutus Unedoseeds of Three Provenances

Pipinis

Stampoulidis

Milios

et al. 2016

AJTCAM

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Background: Arbutus unedo is a valuable Mediterranean shrub as an ornamental plant as well as fruit tree. Fresh fruits of A. unedo are a good source of antioxidants, of vitamins C, E and carotenoids and also are characterized by the high content of mineral elements. Materials and Methods: The effects of gibberellic acid (GA 3 ) and cold stratification (CS) on seed germination performance were investigated in A. unedo seeds collected from three provenances in the Northern part of Greece. Seeds of each provenance were soaked in solutions of GA 3 (500, 1000 or 2000 ppm) for 24 h and subsequently were subjected to CS at 3 -5ºC for 0, 1, 2, and 3 months. Results: Non-stratified seeds of the three A. unedo provenances which were not treated with GA 3 solutions exhibited very low germination. However, seed germination was significantly improved after a one-month period of CS. Similarly, the non-stratified seeds of all three provenances became non-dormant after the treatment with 2000 ppm GA 3 and they germinated at high percentages. However, in untreated seeds with GA 3 , after a one-month CS period the seeds of the Pieria provenance exhibited higher germination percentage than that of Rodopi provenance seeds. Furthermore, in non-stratified seeds, the Pieria provenance seeds treated with GA 3 germinated at higher percentages and more rapidly than those of the other two provenances. Conclusion:The results indicated that untreated seeds exhibited very low germination at 20/25ºC. However, in all three provenances seed germinability was significantly improved by a one-month period of CS or treatment of seeds with 2000 ppm GA 3 . Furthermore, there was a considerable variability among seed provenances in response to the treatments which were applied.

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“…Therefore, both the comparison between ecotype groups and that among landrace provenance groups held the average mean square of entries within groups as the error term . Given the unequal group sample sizes, type III sum of squares (Freund et al ., 1986) were used for mean Table 1 Tukey's HSD test (Klockars & Sax, 1986) . The other comparisons were tested on the experiment error.…”

Section: Statistical Analysesmentioning

confidence: 99%

Variation for dry matter yield, seed yield and other agronomic traits in Ladino white clover landraces and natural populations

Annicchiarico

1993

Euphytica

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A set of Ladino white clover ecotypes including the last available landraces and some natural populations collected from old permanent meadows, together with some white clover varieties of various origins, were evaluated as monocultures for dry matter (DM) and seed yield assessed in separate field experiments . Other agronomic traits were also recorded . The best performing variety, 'Espanso', was significantly outyielded by some ecotypes for DM and seed production . Compared to landraces, natural populations yielded on average far less seed but as much DM and tended towards higher persistence indicating that domestication of the native Ladino at the farm level only improved seed yield of the crop . Natural populations showed, besides lower values of most seed yield components, a distinct canopy architecture characterized by smaller leaves, longer internodes and denser stolons. Seed weight proved the best character discriminating between the two ecotype groups . Significant variation for most traits was found both among landraces, in which it was mostly relatable to differences among provenances, and among natural populations . The relations between the main

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Multiple Comparisons

Cited by 116 publications

References 0 publications

A few useful things to know about machine learning

A few useful things to know about machine learning

Effects of Cold Stratification and Ga3 on Germination Ofarbutus Unedoseeds of Three Provenances

Variation for dry matter yield, seed yield and other agronomic traits in Ladino white clover landraces and natural populations

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