A comparative analysis of population characteristics of the competing progeny (within UK) of UK elite eventing sires and all competing event horses within the UK

2004 ◽  
Vol 32 ◽  
pp. 191-193 ◽  
Author(s):  
T C Whitaker ◽  
J Hill
Keyword(s):  
Comparative Analysis ◽  
Data Transformation ◽  
Descriptive Statistics ◽  
Population Characteristics ◽  
Horse Population ◽  
Data Set ◽  
Total Lifetime ◽  
Breed Improvement ◽  
The Uk ◽  
Show Jumping

A greater understanding of the population characteristics of sport horse populations is required to enable potential breed improvement programmes to be formulated correctly and be effective in their outcomes. To date limited research has been conducted into the UK sport horse population.A selected group of progeny (n=339) sired by elite eventing stallions was examined. In the context of this study elite sires were defined as those that were ranked 1-10 by total lifetime points won by competing progeny up to the end of 2000 (British Horse Database, 2000). Comparative analysis was undertaken between the selected group and all competing eventing horses in 2000 (n=9387) (British Horse Database, 2000). Data collected for both groups included, total lifetime points won at eventing and dressage and total lifetime money won at show jumping. Basic descriptive statistics were produced for each data set (Table 1). Product moment correlations were performed for all discipline areas (Table 2). Data transformation was applied using LOG+1(Hassenstein, Roehe, and Kalm, 1996).

A comparative analysis of population characteristics of the competing progeny (within UK) of UK elite show jumping sires and all competing show jumping horses within the UK

2004 ◽  
Vol 32 ◽  
pp. 195-197
Author(s):  
T C Whitaker ◽  
J Hill
Keyword(s):  
Comparative Analysis ◽  
Descriptive Statistics ◽  
Population Characteristics ◽  
Data Sets ◽  
Data Set ◽  
Total Lifetime ◽  
Limited Success ◽  
Lifetime Earnings ◽  
The Uk ◽  
Show Jumping

The UK currently has limited success at producing show jumping horses of international standard (WBFSH, 2002). For improvement to occur a greater understanding of the population dynamics of the show jumping population is requiredA selected group of progeny (n=304) sired by elite show jumping stallions was examined. Elite sires were defined as those that were ranked 1-10 in the 2001 Sport Horse Annual (British Horse Database, 2000) by total lifetime earnings of progeny competing in 2000. Comparative analysis was conducted with all competing show jumping horses (n=22421) in 2000 (British Horse Database, 2000). Data collected comprised of total lifetime money won at show jumping, total lifetime points won at eventing and dressage. Descriptive statistics were produced for each data set (Table 1). Product Moment Correlations were performed for all discipline areas (Table 2). Data transformation was applied using LOG+1(Hassenstein, Roehe and Kalm, 1996) to account for the skewness in all data sets.

Genetic improvement and relative evaluation of competition performance within the UK sport horse population

2006 ◽  
Vol 35 ◽  
pp. 13-28
Author(s):  
T.C. Whitaker
Keyword(s):  
Genetic Improvement ◽  
Environmental Effect ◽  
Horse Population ◽  
Limited Knowledge ◽  
Relative Evaluation ◽  
Horse Breeding ◽  
Slow Progress ◽  
Breed Improvement ◽  
And Performance ◽  
The Uk

AbstractA summary of the current position of UK sport horse breeding is given in relation to genetic improvement within a commonly applied breeding scheme. Using event horse breeding as the example, rates of gain are shown to be extremely slow, at less than 1 point gain per generations. In order to ascertain the reasons for slow progress, stallion usage and impact on the population is investigated. The study highlights that currently, elite sires are having a very limited effect on the rate of gain. Further investigation of performance recording and analysis systems is therefore undertaken whilst considering the following three issues: 1 Our limited knowledge of environmental effect on performance. 2) the subjective nature of evaluation techniques and 3) the questionable link between performance and pedigree. The study concludes that limited knowledge of environmental effect on performance, poor linkage of pedigree and performance data and poor application of breed improvement strategies have led to extremely slow rates of genetic gain within the UK event horse population.

Analysis of the population of competing British sport horses as measured by lifetime performance: structural distributions at different levels of competition

2005 ◽  
Vol 2 (1) ◽  
pp. 43-51 ◽  
Author(s):  
TC Whitaker ◽  
J Hill
Keyword(s):  
Structural Analysis ◽  
Preliminary Investigation ◽  
Data Availability ◽  
Confounding Effect ◽  
Horse Population ◽  
Respective Discipline ◽  
The Uk ◽  
Show Jumping ◽  
Year 2000 ◽  
Different Levels

AbstractA preliminary investigation into the structure of the competing sport horse population within the UK for the year 2000 was undertaken, comprising 30 974 horses and 39 679 individual performances. All performance data were expressed as total lifetime winnings. The level of non-winning horses, expressed as a percentage, was high in all disciplines: dressage 22%, eventing 50% and show jumping 23%. The percentage of horses competing in disciplines at the highest recognized level was small: dressage 2.5%, eventing 10% and show jumping 6.5%. Highest earners for all disciplines all earned considerably more than the threshold for highest performance level in their respective discipline (×2.2 dressage, ×24 eventing, ×365 show jumping). Data for all three disciplines were highly skewed. Structural analysis of the distributions by level showed a highly skewed hypogeometric distribution at the lowest level of competition for all disciplines, uniform distribution at intermediate levels (bimodal tendencies were observed within dressage) and normal distribution at advanced levels. Product–moment correlations showed a significant correlation between show jumping and eventing (0.228, P<0.01). Problems with data availability and presentation may mean that up to 12.9% of the population may have had a confounding effect on the results of this study.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

The Structural Landscape of SARS-CoV-2 Main Protease: Hints for Inhibitor Search.

2020 ◽  
Author(s):  
Luigi Leonardo Palese
Keyword(s):  
Comparative Analysis ◽  
Global Health ◽  
Binding Site ◽  
Causative Agent ◽  
Data Set ◽  
Substrate Binding Site ◽  
Global Pandemic ◽  
Main Protease ◽  
Crystallographic Structures ◽  
Structural Aspects

In 2019, an outbreak occurred which resulted in a global pandemic. The causative agent of this serious global health threat was a coronavirus similar to the agent of SARS, referred to as SARS-CoV-2. In this work an analysis of the available structures of the SARS-CoV-2 main protease has been performed. From a data set of crystallographic structures the dynamics of the protease has been obtained. Furthermore, a comparative analysis of the structures of SARS-CoV-2 with those of the main protease of the coronavirus responsible of SARS (SARS-CoV) was carried out. The results of these studies suggest that, although main proteases of SARS-CoV and SARS-CoV-2 are similar at the backbone level, some plasticity at the substrate binding site can be observed. The consequences of these structural aspects on the search for effective inhibitors of these enzymes are discussed, with a focus on already known compounds. The results obtained show that compounds containing an oxirane ring could be considered as inhibitors of the main protease of SARS-CoV-2.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

scholarly journals Survey of young people in one region of the UK on accessing COVID-19 information (SOCIAL)

2021 ◽  
Vol 5 (1) ◽  
pp. e000942
Author(s):  
Oliver G P Lawton ◽  
Sarah A Lawton ◽  
Lisa Dikomitis ◽  
Joanne Protheroe ◽  
Joanne Smith ◽  
...  
Keyword(s):  
Social Media ◽  
Young People ◽  
Significant Role ◽  
Online Survey ◽  
Descriptive Statistics ◽  
Sources Of Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Education Gaps ◽  
The Uk

COVID-19 has significantly impacted young people’s lives yet little is known about the COVID-19 related sources of information they access. We performed a cross-sectional survey of pupils (11–16 years) in North Staffordshire, UK. 408 (23%) pupils responded to an online survey emailed to them by their school. Descriptive statistics were used to summarise the data. Social media, accessed by 68%, played a significant role in the provision of information, despite it not being considered trustworthy. 89% felt that COVID-19 had negatively affected their education. Gaps in the provision of information on COVID-19 have been identified.

Intuitionistic fuzzy two-factor variance analysis of movie ticket sales

2021 ◽  
pp. 1-11
Author(s):  
Velichka Traneva ◽  
Stoyan Tranev
Keyword(s):  
Comparative Analysis ◽  
Real Data ◽  
Intuitionistic Fuzzy Sets ◽  
Real Numbers ◽  
Data Set ◽  
Important Method ◽  
Ticket Sales ◽  
Intuitionistic Fuzzy ◽  
The One ◽  
First Time

Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented.

The Covid-19 lockdown in the United Kingdom and subjective well-being: Have the self-employed suffered more due to hours and income reductions?

2021 ◽  
pp. 026624262098676 ◽  
Author(s):  
Wei Yue ◽  
Marc Cowling
Keyword(s):  
United Kingdom ◽  
Rare Events ◽  
Well Being ◽  
The Self ◽  
Subjective Well Being ◽  
Data Set ◽  
The United Kingdom ◽  
Hours Of Work ◽  
Period Data ◽  
The Uk

It is well documented that the self-employed experience higher levels of happiness than waged employees even when their incomes are lower. Given the UK government’s asymmetric treatment of waged workers and the self-employed, we use a unique Covid-19 period data set which covers the months leading up to the March lockdown and the months just after to assess three aspects of the Covid-19 crisis on the self-employed: hours of work reductions, the associated income reductions and the effects of both on subjective well-being. Our findings show the large and disproportionate reductions in hours and income for the self-employed directly contributed to a deterioration in their levels of subjective well-being compared to waged workers. It appears that their resilience was broken when faced with the reality of dealing with rare events, particularly when the UK welfare support response was asymmetric and favouring waged employees.

Sign in / Sign up

Export Citation Format

Share Document