Author and register as sources of variation

2020 ◽  
Vol 25 (4) ◽  
pp. 461-488
Author(s):  
Václav Cvrček ◽  
Zuzana Laubeová ◽  
David Lukeš ◽  
Petra Poukarová ◽  
Anna Řehořková ◽  
...  
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Representative Sample ◽  
General Purpose ◽  
Dimensional Model ◽  
Final Shape ◽  
Register Variation ◽  
Factors Influencing ◽  
Sources Of Variation ◽  
Authentic Data

Abstract This paper investigates the contribution of author/idiolect vs. register/type-of-text – as the most salient factors influencing the final shape of a text – towards explaining the variation observed in Czech texts. Since it is almost impossible to explore the effect of these factors on authentic data, we used elicited letters collected in a fully crossed experimental design (representative sample of 200 authors × four elicitation scenarios serving as a proxy to register variation). The variation encompassed by the elicited texts is analyzed through the lens of a general-purpose multi-dimensional model of Czech. Using triangulation via three established statistical methods and one devised for the purpose of this study, we find that register matters a great deal, explaining 1.5 times as much variation overall as idiolect. This should be taken into account when designing research in sociolinguistics or variation studies in general.

Statistics and parallaxes

1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Review Paper ◽  
Systematic Errors ◽  
Past Experience ◽  
Random Errors ◽  
Trigonometric Parallaxes ◽  
Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

Prägen metallischer Grünfolien*/Embossing of metal green tapes – Investigation of factors influencing the formability of metal green tapes

2015 ◽  
Vol 105 (10) ◽  
pp. 722-725
Author(s):  
Q. Spiller ◽  
M. Baumeister ◽  
J. Fleischer
Keyword(s):  
Statistical Methods ◽  
Powder Technology ◽  
Factors Influencing ◽  
Statistische Methoden ◽  
Material Process ◽  
Main Effects ◽  
The Way

Im Bereich der Pulvertechnologie ist das Prägen metallischer Grünfolien eine wirtschaftliche und ressourcenschonende Möglichkeit zur Herstellung strukturierter Halbzeuge. Im Rahmen des AIF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen)-Projekts „Inka“ werden die Einflüsse der Werkstoff-, Prozess- und Geometrieparameter auf die Prägbarkeit von Grünfolien aus dem Werkstoff 17–4PH experimentell untersucht. Dabei kommen statistische Methoden zur Ermittlung der Haupt- und Wechselwirkungseffekte zum Einsatz.   In powder technology, the embossing of metal green tapes offers an economic way to produce structured semi-finished products. The AIF project “Inka“ aims to experimentally investigate how material, process and geometry parameters affect the way metal green tapes made of 17–4PH can be embossed. Statistical methods are used to find out the main effects and interdependencies.

Streckziehen keramischer Grünfolien*/Stretch drawing of ceramic green tapes - Investigation of the factors influencing to the stretch drawing capacity of ceramic green tapes

2016 ◽  
Vol 106 (11-12) ◽  
pp. 847-850
Author(s):  
Q. Spiller ◽  
M. Baumeister ◽  
J. Prof. Fleischer
Keyword(s):  
Statistical Methods ◽  
Three Dimensional ◽  
Interaction Effects ◽  
Powder Technology ◽  
Factors Influencing ◽  
Statistische Methoden ◽  
Main Effects

Im Bereich der Pulvertechnologie stellt das Streckziehen keramischer Grünfolien eine wirtschaftliche Möglichkeit dar, dreidimensionale Halbzeuge herzustellen. Im Rahmen des AiF-Projekts „Inka“ werden die Einflüsse der Prozess- und Geometrieparameter auf die Streckziehfähigkeit von keramischen Grünfolien aus dem Werkstoff ZrO2 experimentell untersucht. Dabei kommen statistische Methoden zur Ermittlung der Haupt- und Wechselwirkungseffekte zum Einsatz.   In the field of powder technology stretch drawing is an economic way to produce three-dimensional semi-finished products. In the context of the AIF Project “Inka“ the influences of process and geometry parameters are experimental examined on stretch drawing capacity of ceramic green tapes of material ZrO2. Statistical methods are used to find out main effects and interaction effects.

scholarly journals Factors Influencing Evaluation of Remuneration Justice

2018 ◽  
Vol 48 (3) ◽  
pp. 41-52
Author(s):  
Marta Juchnowicz ◽  
Hanna Kinowska
Keyword(s):  
Factor Analysis ◽  
Organizational Justice ◽  
Employee Engagement ◽  
Representative Sample ◽  
Large Body ◽  
Three Dimensions ◽  
Factors Influencing ◽  
Theoretical Assumptions ◽  
Fair Compensation ◽  
The Relationship

Although the large body of literature suggests the importance of fair compensation, the understanding of the nature of remuneration justice remains limited. The paper fills the gap by combining the three streams in the research: diversified definitions of justice in management sciences, philosophy and ethics, theory of organizational justice and research on employee engagement. Based on theoretical assumptions, a remuneration justice as-sessment model was developed. The evaluation of the remuneration fairness depends on three dimensions: perception of the features of the remuneration system, employees’ convictions regarding the legitimacy of pay differentiation and work needs. The hypothe-sised model was tested on a representative sample of 1,067 working Poles. This research has used SEM-PLS approach including exploratory factor analysis. The find-ings carry theoretical implications, since they extend the research and refine the essence of remuneration justice. From a practical perspective, the relationship between the three predictors – system, beliefs and needs – provide a proof on how remuneration justice is composed and how it could be developed.

scholarly journals Statistical methods for analysis of multi-harvest data from perennial pasture variety selection trials

2015 ◽  
Vol 66 (9) ◽  
pp. 947 ◽  
Author(s):  
Joanne De Faveri ◽  
Arūnas P. Verbyla ◽  
Wayne S. Pitchford ◽  
Shoba Venkatanagappa ◽  
Brian R. Cullis
Keyword(s):  
Statistical Methods ◽  
Temporal Correlation ◽  
Field Trials ◽  
Model Fit ◽  
Natural Sources ◽  
Variety Selection ◽  
Sources Of Variation ◽  
Harvest Data ◽  
Insight Into

Variety selection in perennial pasture crops involves identifying best varieties from data collected from multiple harvest times in field trials. For accurate selection, the statistical methods for analysing such data need to account for the spatial and temporal correlation typically present. This paper provides an approach for analysing multi-harvest data from variety selection trials in which there may be a large number of harvest times. Methods are presented for modelling the variety by harvest effects while accounting for the spatial and temporal correlation between observations. These methods provide an improvement in model fit compared to separate analyses for each harvest, and provide insight into variety by harvest interactions. The approach is illustrated using two traits from a lucerne variety selection trial. The proposed method provides variety predictions allowing for the natural sources of variation and correlation in multi-harvest data.

Mapping genes for growth rate and fatness in a Large White x Meishan F2 pig population

1998 ◽  
Vol 1998 ◽  
pp. 7-7 ◽  
Author(s):  
G.A. Walling ◽  
A.L Archibald ◽  
P.M. Visscher ◽  
C.S. Haley
Keyword(s):  
Growth Rate ◽  
Genetic Variation ◽  
Experimental Design ◽  
Statistical Methods ◽  
Population Based ◽  
Genetic Maps ◽  
Large White ◽  
Backcross Population ◽  
Livestock Species ◽  
Reproduction Traits

DNA-based markers and genetic maps of major livestock species have been developed in the last few years. These, together with experimental populations and appropriate statistical methods, provide the tools to dissect causes of economically important genetic variation in livestock. A cross between genetically diverse lines is a powerful experimental design for such a study. In an F2 or backcross population from such a cross, markers are likely to be highly informative and the genes that control the differences between the lines will be segregating. We have been developing such a resource population based on a cross between the British Large White and Chinese Meishan pigs. These breeds differ for many traits, with the Meishan being inferior for growth rate and fatness, but superior for reproduction traits. Here we report the mapping of major genetic effects on growth rate and fatness in our cross.

scholarly journals Different harvest times and physiological quality of coriander seeds

2016 ◽  
Vol 20 (2) ◽  
pp. 133-137
Author(s):  
Emilly R. Alkimim ◽  
Andréia M. S. de S. David ◽  
Tiago V. Sousa ◽  
Cleiton G. Rodrigues ◽  
Hugo T. R. Amaro
Keyword(s):  
Experimental Design ◽  
Moisture Content ◽  
Seed Quality ◽  
Seedling Emergence ◽  
Full Bloom ◽  
Factors Influencing ◽  
Emergence Rate ◽  
Physiological Quality ◽  
First Moment

ABSTRACT The season of harvest is one of the most important factors influencing seed quality. This study evaluated the effect of different harvesting times on the physiological quality of Coriandrum sativum L. seeds, cv. Palmeira. The experimental design was completely randomized, with six treatments (harvest times) and four replications. The experiment was conducted during the months of April to October 2010. The first moment to harvest seeds was carried out 15 days after full bloom, when approximately 50% of plants were in flowering phase. Other harvests (22, 29, 36, 43 and, 50 days after bloom) were carried out at 7 days intervals until the seeds reached 16.0% of moisture, which occurred in the 6th harvest. Immediately after each harvest, the seeds were analysed for water content, germination and vigor (first count, seedling emergence and emergence rate index). The harvest season most suitable for C. sativum seeds cv. Palmeira occurred between 46 and 50 days after flowering, when the seeds have the highest physiological quality and moisture content between 20 and 16%.

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