184 Statistical Analysis of Grazing Research

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 99-99
Author(s):  
William B Smith
Keyword(s):  
Statistical Analysis ◽  
Graduate School ◽  
Multiple Scales ◽  
Experimental Unit ◽  
Maximum Information ◽  
Computing Power ◽  
Rules Of Thumb ◽  
Treatment Research ◽  
Grazing Livestock ◽  
Historical Examination

Abstract Research in the area of pastures, forages, and grazing livestock has a storied history within the realm of statistical analysis. Unlike traditional experiments in ruminant nutrition, in which an animal is fed individually and data are collected to assess the applied treatment, research on the grazing animal presents its own unique set of challenges. The collection of data on multiple scales (e.g., animal, pasture, landscape, time) brings into question the appropriate assignment of the experimental unit, and variance and covariance estimates must account for both the spatial and temporal effects of the environment. Oftentimes, the designs, assumptions, and rules-of-thumb taught to us in graduate school do not meet muster to adequately address the intricacies of this situation. This presentation will seek to address these complications and present statistically-sound solutions to obtain the maximum information from experimental data. First, a historical examination will be offered of how grazing experiments were originally handled. Next, conjecture will be offered as to why these methods may not remain valid and how advances in computing power and statistical theory allow us to obtain more information from the experiment. Finally, solutions to common scenarios will be offered whereby a more adequate or complete description of the experiment may be obtained.

scholarly journals Digital transformation of management resources for a comfortable tax environment

2021 ◽  
Vol 125 ◽  
pp. 04001
Author(s):  
Valeriy Ivanovich Bratcev ◽  
Anastasiya Mikhailovna Simachkova
Keyword(s):  
Statistical Analysis ◽  
Daily Life ◽  
Industrial Relations ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Computing Power ◽  
Single Tax ◽  
General Scientific ◽  
The Russian Federation ◽  
Practical Recommendations

With the use of digital technologies, a person’s daily life, industrial relations, economic processes and education are changing, as well as new requirements for communications, computing power, information systems and services arise. The article reflects the main results of the digital transformation of tax authorities, contributing to the creation of a comfortable tax environment in the context of the general digitalization of the economy. The study aims to determine the causal relationship between the management decisions made by the tax authorities and the dynamics of obligatory payments to the budgets of the budgetary system of the Russian Federation, as well as to formulate proposals for improving the advanced developments of tax authorities aimed at creating a comfortable tax environment, reflecting the principles of the “economy of trust”. The solution of the tasks set in the work was carried out on the basis of the application of general scientific research methods within the framework of comparative, logical and statistical analysis, etc. Among key findings of the research, we should mention the substantiation of the transformation of the management resources of the tax authorities under the influence of the development of digital technologies, as well as the development of practical recommendations for improving the advanced developments of the tax authorities (tax monitoring system, special tax regime for self-employed citizens, single tax payment system) in the framework of creating a comfortable tax environment and building trusting relationships with taxpayers.

Promoting Student Success in Statistics Courses by Tapping Diverse Cognitive Abilities

2019 ◽  
Vol 46 (2) ◽  
pp. 140-145
Author(s):  
Erin Morris Miller
Keyword(s):  
Statistical Analysis ◽  
Student Success ◽  
Student Learning ◽  
Cognitive Ability ◽  
Graduate School ◽  
Cognitive Abilities ◽  
Achievement Test ◽  
Statistics Course ◽  
Psychology Majors ◽  
Statistics Courses

Skill in statistical analysis and interpretation are key areas of expertise for psychology majors seeking graduate school admittance and future employment. However, students can be reluctant to engage in their statistics course and may struggle to find success. One possible way to increase engagement and student learning is to teach in a way that taps multiple areas of cognitive ability through organizing instruction according to Robert Sternberg’s theory of triarchic intelligence. This approach to instruction has been shown to be successful in the author’s courses and resulted in a pattern of achievement on the psychology subtest of the Area Concentration Achievement Test (ACAT) that is above what would be predicted by the students’ general aptitude scores.

scholarly journals Scale-space analysis of time series in circulatory research

2006 ◽  
Vol 291 (6) ◽  
pp. H3012-H3022 ◽  
Author(s):  
Kim Erlend Mortensen ◽  
Fred Godtliebsen ◽  
Arthur Revhaug
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Real Time ◽  
Repeated Measures ◽  
Multiple Scales ◽  
Visual Presentation ◽  
Scale Space ◽  
Statistical Tool ◽  
Data Points ◽  
Analysis Of Time Series

Statistical analysis of time series is still inadequate within circulation research. With the advent of increasing computational power and real-time recordings from hemodynamic studies, one is increasingly dealing with vast amounts of data in time series. This paper aims to illustrate how statistical analysis using the significant nonstationarities (SiNoS) method may complement traditional repeated-measures ANOVA and linear mixed models. We applied these methods on a dataset of local hepatic and systemic circulatory changes induced by aortoportal shunting and graded liver resection. We found SiNoS analysis more comprehensive when compared with traditional statistical analysis in the following four ways: 1) the method allows better signal-to-noise detection; 2) including all data points from real time recordings in a statistical analysis permits better detection of significant features in the data; 3) analysis with multiple scales of resolution facilitates a more differentiated observation of the material; and 4) the method affords excellent visual presentation by combining group differences, time trends, and multiscale statistical analysis allowing the observer to quickly view and evaluate the material. It is our opinion that SiNoS analysis of time series is a very powerful statistical tool that may be used to complement conventional statistical methods.

2. Why is big data special?

2017 ◽  
pp. 14-25
Author(s):  
Dawn E. Holmes
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Statistical Analysis ◽  
Rapid Growth ◽  
Credit Card ◽  
Fraud Detection ◽  
Small Data ◽  
Computing Power ◽  
Data Volume ◽  
And Storage

The rapid growth in computing power and storage has led to progressively more data being collected. Big datasets are certainly large and complex, but in order to fully define ‘big data’ we need first to understand ‘small data’ and its role in statistical analysis. ‘Why is big data special?’ considers the four main characteristics of big data: volume, variety, velocity, and veracity, which present a considerable challenge in data management. The advantages we expect to gain from meeting this challenge and the questions we hope to answer with big data can be understood through data mining. The use of big data mining in credit card fraud detection is discussed.

scholarly journals 220 A comparison of synovex one alone to synovex choice followed by synovex plus as implant strategies for finishing heifers

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 129-130
Author(s):  
Elizabeth Schumacher ◽  
Galen E Erickson ◽  
D J Jordon ◽  
Robert Cooper ◽  
Tony Scott ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Fixed Effects ◽  
Carcass Characteristics ◽  
Estradiol Benzoate ◽  
Experimental Unit ◽  
Marbling Score ◽  
Arrival Date ◽  
Trenbolone Acetate ◽  
Performance Quality ◽  
Quality Grade

Abstract A commercial feedyard study utilizing crossbred heifers (n = 1,737; initial BW 313 kg) fed for 182 days compared the effect of two implant strategies on performance and carcass characteristics. The study design was a randomized complete block with block as arrival date and initial BW; with pen as the experimental unit (12/treatment). Heifers were implanted with Synovex ONE Feedlot [200 mg trenbolone acetate (TBA), 28 mg estradiol benzoate (EB)] on d 1 (ONE), or implanted with Synovex Choice (100 mg TBA, 14 mg EB) on d 1 followed by Synovex Plus (200 mg TBA, 28 mg EB) on d 95 (CH/Plus). Statistical analysis was conducted using the Mixed procedure of SAS with treatment and block considered fixed effects for performance. Quality grade (QG) and yield grade (YG) data were analyzed using the GLIMMIX procedure of SAS. Implanting with Ch/PLUS tended to improve ADG and HCW (P ≤ 0.13) compared to implanting with ONE. Heifers implanted using ONE tended (P = 0.09) to have greater DMI than CH/PLUS heifers. Intakes were similar (P = 0.34) between treatments before re-implanting, but CH/Plus heifers had lower (P < 0.01) DMI in the final 85 days. Heifers implanted using CH/PLUS had significantly (P < 0.01) greater G:F calculated on a carcass basis compared to heifers implanted with ONE. Heifers implanted with CH/PLUS had significantly (P ≤ 0.02) lower marbling score and YG, higher dressing percentage, and greater LM area compared to heifers implanted with ONE. Heifers implanted with ONE tended to have improved QG distribution (P = 0.06) but poorer YG distribution (P = 0.09) compared to heifers implanted using CH/PLUS. These data suggest that implanting heifers with Synovex ONE Feedlot resulted in slightly less efficiency but better quality grade when fed equal days compared with using Synovex Choice and Plus reimplant program.

scholarly journals Effects of compaction, moisture and depth on the parameters of the kostiakov equation

2021 ◽  
Vol 12 (1) ◽  
pp. 56-68
Author(s):  
Américo Hossne García ◽  
◽  
Jesús Méndez ◽  
I.J. Smith ◽  
P Velázquez ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Bulk Density ◽  
Physical Characteristic ◽  
Soil Texture ◽  
Soil Depth ◽  
Block Design ◽  
Experimental Unit ◽  
Randomized Block Design

This report consisted of studying the effects caused by the soil physical characteristic, in the presence of wetness variations and structures-texture fluctuations, to the Kostiakov constants. The objectives were to investigate the effects of wetness, soil depth, and compaction on the Kostiakov constants “a”, and “b”. The experimental unit consisted of nine polyvinyl cylinders. Statistical analysis under a randomized block design with three replications and three factors: wetness with five levels, soil depth (0-15, 15-30 and 45-60) and compaction with three levels (0, 13 and 26 blows). The relation between the instantaneous infiltration versus compaction and bulk density were inversely proportional. The parameter “a” influenced infiltration more than “b”. Soil texture and structure influenced “b” more than wetness. Wetness influenced “a” more than compaction and soil depth. Kostiakov parameters exposed physical relations to soil texture and structure.

scholarly journals Respuesta de cultivares de mango (Magnifera indica L.) a la antracnosis en la Costa Atlántica colombiana

1997 ◽  
Vol 2 (1) ◽  
pp. 45 ◽  
Author(s):  
Alberto Rafael Páez R.
Keyword(s):  
Statistical Analysis ◽  
Colletotrichum Gloeosporioides ◽  
Management Practice ◽  
Atlantic Coast ◽  
Research Center ◽  
Experimental Unit ◽  
Harvest Time ◽  
Good Level ◽  
Randomized Design ◽  
Completely Randomized Design

<p>Para contrarrestar el efecto limitante de la antracnosis (Colletotrichum gloeosporioides [Penz.] Penz. 1 Sacc.) en los huertos de mango es necesario, entre otras medidas de manejo, utilizar cultivares que presenten cierto grado de tolerancia o resistencia a esta enfermedad fungosa. Por lo tanto, es necesario ampliar la evaluación de cultivares para encontrar aquellos que puedan ofrecer mayores alternativas de control a los productores. Para el efecto se realizó un estudio en el Centro de Investigación (C.I.) Caribia de la Corporación Colombiana de Investigación Agropecuaria -Corpoica-, ubicado en el corregimiento de Sevilla, municipio de Ciénaga, departamento del Magdalena, Colombia, durante los primeros semestres de 1992, 1993y 1994 (cosecha principal en la Región Caribe). Allí se evaluaron nvarieda des en 1992, 14 en 1993 y 15 en 1994, con un diseño estadístico completamente al azar con, tres repeticiones, y tomando tres plantas como unidad experimental. Los parámetros evaluados fueron incidencia y severidad de la enfermedad, y para ello se realizaron lecturas semanales. Los análisis estadísticos mostraron diferencias altamente significativas entre los tratamientos; se destacaron los cultivares Vandyke y Kent en 1992; Tommy Atkins, Keitt y Vandyke en 1993, y Tommy Atkins, Keitt, Early Gold, James Saigon y Vandyke en 1994, por ser los menos susceptibles a la enfermedad.</p><p> </p><p><strong>Susceptibility of Mango Cultivars (Magnifera indica L.) to the Anthracnose at the Colombian Atlantic Coast</strong></p><p>The use of cultivars showing a good level of toleration or resistance, is a management practice to decrease the incidence of anthracnose in crops of mango. However, it is required to enlarge the test of cultivar s to be able to offer new and larger options to the mango producers. This study was carried out at Caribia, a Research Center (C.I.) of Corporación Colombiana de Investigación Agropecuaria -Corpoica-, located in Sevilla (Ciénaga), departament of Magdalena, Colombia, during the first semesters of 1992, 1993 and 1994 (main harvest time in the Caribean Region). Eleven mango varieties were tested in 1992; fourteen in 1993; and fifteen in 1994, using a completely randomized design with three replications, taking three plant s as experimental unit. The tested parameters, based on weekly lectures, were incidence and se verity of the disease. The statistical analysis showed significant differences among treatments; the results suggest the cultivars Vandyke and Kent in 1992; Tommy Atkins, Keitt and Vandyke in 1993; and Tommy Atkins, Keiit, Early Gold, James Saigon and Vandyke in 1994 as the better options due to this low susceptibility to the anthracnose.</p>

Sign in / Sign up

Export Citation Format

Share Document