scholarly journals Prediction of California Bearing Ratio and compaction characteristics of Transvaal soils from indicator properties

2021 ◽  
Vol 63 (2) ◽  
Author(s):  
F J Haupt ◽  
F Netterberg
Keyword(s):  
Statistical Analysis ◽  
California Bearing Ratio ◽  
Prediction Methods ◽  
Large Scatter ◽  
Compaction Characteristics ◽  
Better Than

ABSTRACT A preliminary statistical analysis of 914 mostly Transvaal soils of average selected subgrade quality produced useful, highly statistically significant methods for the prediction of the maximum Proctor CBR and the Proctor compaction characteristics, as well as relationships between soaked and unsoaked CBR and between Proctor and MAASHO compaction characteristics. Because of the well-known poor reproducibilty of the CBR, as well as the indicator tests used, it is believed that the accuracy of the prediction methods is better than it appears from the large scatter of results. These methods do not replace CBR testing but supplement it by possibly reducing the number of expensive tests and providing a check on gross errors. Keywords: CBR, prediction, indicator tests, subgrade, Proctor

scholarly journals Studi Perbandingan Model Pembelajaran Kooperatif Tipe Jigsaw dan NHT (Numbered Head Together)Terhadap Hasil Belajar Stoikiometri Siswa Kelas X SMAN 8 Palu

2017 ◽  
Vol 5 (3) ◽  
pp. 133
Author(s):  
Nizar Nizar ◽  
Irwan Said ◽  
Suherman Suherman
Keyword(s):  
Statistical Analysis ◽  
Learning Outcomes ◽  
Hypothesis Test ◽  
Average Score ◽  
Cooperative Model ◽  
A Value ◽  
Quasi Experimental ◽  
Two Sides ◽  
Academic Year ◽  
Better Than

The aim of this study is to compare the learning outcomes of student in SMA Negeri 8 Palu using the cooperative learning model between jigsaw and NHT (numbered head together) on the stoichiometry. This research using a quasi-experimental design with factorial 2 x 2. The population of this study is all student of class X SMA 8 Palu with academic year 2015/2016 which consists of four classes. The sample of this study consists of two classes, namely class XB with amount of 16 students (experimental class) and class XC with amount of 17 students (control class) which was determined by purposive sampling. Data was collected by using test instruments, namely an achievement test that contains the stoichiometry material. The examination of data was conducted by using statistical analysis t-test two sides and one side (right side) non-parametric or Mann-Whitney U test. The average score of the learning outcomes of student by using the jigsaw type was (78.00; SD = 13.63), and by using NHT type was (70.47; SD = 16.51). Based on statistical analysis of the hypothesis test for two sides, it was obtained a value of 0.195 Asymp sig (2-tailed) and was obtained a value 0.204 Exact Sig (1-tailed) of 0.204, both of datas were at the rejection area of H0 which was a significance value greater than 0.05 (P> 0.05). Therefore, it can be concluded that there was a difference in learning outcomes using the cooperative model jigsaw type with NHT type, furthermore the type of jigsaw better than the NHT on the learning outcomes of students of stoichiometry in class X SMA Negeri 8 Palu.

scholarly journals PENDIDIKAN KARAKTER MELALUI PEMBELAJARAN MATEMATIKA

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Salafudin *
Keyword(s):  
Statistical Analysis ◽  
Character Education ◽  
Sampling Technique ◽  
Problem Formulation ◽  
Test Method ◽  
Cluster Sampling ◽  
Test Results ◽  
Learning Mathematics ◽  
Character Building ◽  
Better Than

This study aimed to determine: (1) how was the design of character building by learning mathematics, and (2) whether the character building by learning mathematics could produce better learning outcome of mathematics than conventional mathematics learning.To answer these two questions, I used Research and Development ( R & D ) which consists of a preliminary study to obtain preliminary data on student learning outcomes before being given treatments of character building by learning mathematics. The next phase is the design of the character building by learning mathematics. Further testing and revision in class and repeated until it found the best learning model. From the first problem formulation, qualitative data analysis, such as the design of character building in learning mathematics was produced. The results of the qualitative analysis shows, character building by learning mathematics was quite effectively applied to implant positive character in students. To answer the second question, statistical analysis was used. The population in this study was all students of class VII of MTsN in Buaran of Pekalongan which totaled 220. By random cluster sampling technique two classes (a class VII A and VII B) was chosen. Class VII A was as an experiment class, and class VII B was as a control class. Data were taken by the test method, experimental classroom observation, and documentation. The data was then processed with an average difference test. Results of statistical analysis obtained t = 3.33 > t table = 1.67. This meant that learning achievement of the students in the experimental class, which was implemented character education in mathematics was better than the students who were taught by conventional methods. Based on these results, it could be conclude that the character building in mathematics was better than the conventional method of learning mathematics.

scholarly journals SIZE EFFECT AND STOCK BEHAVIOR DURING THE EXPANSION AND CONTRACTION PHASES OF ECONOMIC CYCLE: An Empirical Evidence from Indonesian Stock Market

2013 ◽  
Vol 4 (3) ◽  
pp. 361
Author(s):  
Marwan Asri
Keyword(s):  
Statistical Analysis ◽  
Stock Market ◽  
Size Effect ◽  
Empirical Evidence ◽  
Small Firms ◽  
Large Firms ◽  
Economic Cycle ◽  
Stock Behavior ◽  
Better Than

Banz (1981) and Reiganum (1981) claim that, in terms of returncreation, small firms tend to perform better than large firms. They implicitly claim that the phenomena (which is known as size effect) is stable and exists over the period of examination. This study intends to investigate the existence of size effect in Indonesian market and more specifically, to test whether stages of economic cycle (expansion and contraction stages) determine the existence of the effect. The results of the study show that size effect does exist in the market for the whole period of observation (1991-2001). However, when the period is divided into two parts according to the stage of economic cycle, the  statistical analysis results are not supportive to the conclusion about the size effect.

scholarly journals Extreme Learning Machine for the Predictions of Length of Day

2015 ◽  
Vol 50 (1) ◽  
pp. 19-33
Author(s):  
Lei Yu ◽  
Danning Zhao ◽  
Hongbing Cai
Keyword(s):  
Extreme Learning Machine ◽  
Prediction Methods ◽  
Length Of Day ◽  
Ocean Tides ◽  
Medium Term ◽  
Reduced Complexity ◽  
Learning Machine ◽  
Atmospheric Variations ◽  
High Computational Efficiency ◽  
Better Than

Abstract This work presents short- and medium-term predictions of length of day (LOD) up to 500 days by means of extreme learning machine (ELM). The EOP C04 time-series with daily values from the International Earth Rotation and Reference Systems Service (IERS) serve as the data basis. The influences of the solid Earth and ocean tides and seasonal atmospheric variations are removed from the C04 series. The residuals are used for training of the ELM. The results of the prediction are compared with those from other prediction methods. The accuracy of the prediction is equal to or even better than that by other approaches. The most striking advantages of employing ELM instead of other algorithms are its noticeably reduced complexity and high computational efficiency.

scholarly journals PENINGKATAN PEMAHAMAN KONSEP MATEMATIS MELALUI PEMBELAJARAN KONTEKSTUAL PADA SISWA SEKOLAH MENENGAH PERTAMA

2019 ◽  
Vol 3 (2) ◽  
pp. 144
Author(s):  
Nilam Sari
Keyword(s):  
Statistical Analysis ◽  
Junior High School ◽  
Sample Selection ◽  
Sampling Technique ◽  
Analysis Of Covariance ◽  
Contextual Approach ◽  
Mathematical Concepts ◽  
Concept Understanding ◽  
Quasi Experimental ◽  
Better Than

This study aims to find out: whether an increase in understanding of mathematical concepts students who learn using contextual approaches is better than students who get conventional learning. This research is a quasi-experimental study. The population of this study was seventh grade students of junior high school. Sample selection is done by cluster random sampling technique. The instrument used is concept understanding tests. The instrument was stated to have fulfilled the requirements for content validity, and the reliability coefficient was 0.77. The data in this study were analyzed using descriptive statistical analysis and parametric statistical analysis. Statistical analysis was carried out by analysis of covariance (ANACOVA). The findings of this study are that there is an increase in the ability to understand mathematical concepts of students who use contextual learning better than students who use conventional learning. From the results of the study it is suggested: (1) Learning with a contextual approach is one alternative for mathematics teachers in presenting mathematics subject matter (2) to other researchers who can continue their research on other subjects and mathematical abilities using a contextual approach

scholarly journals Rooting Systems of Semi-hardwood Olive Cuttings of Three Selected Varieties of Manzanilla, Sevillana, and Clonavis

HortScience ◽  
1995 ◽  
Vol 30 (4) ◽  
pp. 843F-843 ◽  
Author(s):  
A.R. Talaie ◽  
M. Ramazani Malakroodi
Keyword(s):  
Statistical Analysis ◽  
Factorial Design ◽  
Root Length ◽  
Better Than

Propagation testing of semi-hardwood olive cuttings was conducted to ensure adequate production to meet Iranian needs. `Clonavis', `Sevillana', and `Manzanilla' were selected to investigate their rooting situations. Three variables (cultivar, differential concentrations of IBA, and vertical cut in the basal end of the cuttings) were considered in a randomized complete-block factorial design test with four replications with 10 cuttings in each treatment. Cuttings 10 to 15 cm long and 0.5 to 1.5 cm in diameter were taken from each cultivar. IBA (0, 2000, 3000, and 4000 ppm) was used in two vertical cuts in basal end of half of the cuttings. Statistical analysis of the rooting capability differed for the three cultivars. `Sevillana' and `Clovanis' rooted better than `Manzanilla'. IBA at 3000 ppm resulted in the highest rooting percentage in all cultivars. The maximum number of roots was obtained with IBA at 4000 ppm in roots that had the basal cuts. Basal end cuts affected considerably the rooting percentage and number of roots, but had no effect on increased root length.

Reliability Prediction Methods and Application of Large Capacity Generating Units

2011 ◽  
Author(s):  
Jinyuan Shi ◽  
Gongwen Huang ◽  
Yong Wang ◽  
Yu Yang
Keyword(s):  
Mathematical Model ◽  
Statistical Analysis ◽  
Prediction Method ◽  
Reliability Prediction ◽  
Prediction Methods ◽  
Large Capacity ◽  
Availability Factor ◽  
Past Data ◽  
Repair Factor ◽  
The Mathematical Model

The mathematical model and the methodology of the reliability prediction of generating units are presented. Based on statistical analysis of operation reliability past data for generating units, statistical values of the repair factor and the mathematical model’s parameters of the repair factor are determined. According to plan repair outage days and the mathematical model for the repair factor of some generating unit, equivalent availability factor (EAF) of the generating unit can be predicted in future three years. The reliability prediction examples for sub-critical 300MW, supercritical 600MW and sub-critical 600MW fossil units are given together with reliability prediction results of 550MW hydro units and 984MW, 990MW nuclear units. The relative error’s range for equivalent availability factor prediction values of the generating units is between −1.48% and 2.69% which indicates that reliability prediction precision is higher. By using reliability prediction method, prediction values for the reliability indexes of generating units can be quantitatively calculated, which provides a basis for reliability objective management and optimization repair of generating units.

A probabilistic modeling approach for interpretable data inference and classification

2020 ◽  
pp. 1-17
Author(s):  
Shuaiyu Yao ◽  
Jian-Bo Yang ◽  
Dong-Ling Xu
Keyword(s):  
Statistical Analysis ◽  
Probabilistic Modeling ◽  
Data Set ◽  
Inference Mechanism ◽  
Modeling Approach ◽  
Input Variables ◽  
Data Inference ◽  
The Relationship ◽  
Better Than ◽  
Iris Data

In this paper, we propose a new probabilistic modeling approach for interpretable inference and classification using the maximum likelihood evidential reasoning (MAKER) framework. This approach integrates statistical analysis, hybrid evidence combination and belief rule-based (BRB) inference, and machine learning. Statistical analysis is used to acquire evidence from data. The BRB inference is applied to analyze the relationship between system inputs and outputs. An interdependence index is used to quantify the interdependence between input variables. An adapted genetic algorithm is applied to train the models. The model established by the approach features a unique strong interpretability, which is reflected in three aspects: (1) interpretable evidence acquisition, (2) interpretable inference mechanism, and (3) interpretable parameters determination. The MAKER-based model is shown to be a competitive classifier for the Banana, Haberman’s survival, and Iris data set, and generally performs better than other interpretable classifiers, e.g., complex tree, logistic regression, and naive Bayes.

Some Aspects of Implementation of Web Services in Load Balancing Cluster-Based Web Server

2020 ◽  
Vol 10 (1) ◽  
pp. 48-72
Author(s):  
Abhijit Bora ◽  
Tulshi Bezboruah
Keyword(s):  
Statistical Analysis ◽  
Load Balancing ◽  
Web Services ◽  
Service Provider ◽  
System Architecture ◽  
Web Server ◽  
Load Testing ◽  
Testing Tool ◽  
Overall Performance ◽  
Better Than

We have designed, developed, and implemented SOAP-based web services in load balancing cluster-based web server and carried out load testing over the system. The roles of web services, such as client, broker, and service provider are segregated among different services. The system is monitored through a load testing tool, Mercury LoadRunner. The recorded system metrics are evaluated to study the overall performance and reliability aspects against different massive level of users. This article presents in detail the system architecture, testing methodology, and recorded system metrics. The statistical analysis is carried out to validate and correlate the overall assessment. This article also provides insights of some aspects of system metrics for deploying web services with segregated roles by using a cluster-based web server. It is observed that service with segregated roles is better than the service with merged roles. As a result, performance and reliability of the proposed system is observed to be better than other generic techniques for such deployment.

scholarly journals Ensemble Methods for Causal Effects in Panel Data Settings

2019 ◽  
Vol 109 ◽  
pp. 65-70 ◽  
Author(s):  
Susan Athey ◽  
Mohsen Bayati ◽  
Guido Imbens ◽  
Zhaonan Qu
Keyword(s):  
Panel Data ◽  
Predictive Accuracy ◽  
Empirical Work ◽  
Ensemble Methods ◽  
Ensemble Method ◽  
Causal Effects ◽  
Prediction Methods ◽  
Synthetic Control ◽  
Prediction Problems ◽  
Better Than

In many prediction problems researchers have found that combinations of prediction methods (“ensembles”) perform better than individual methods. In this paper we apply these ideas to synthetic control type problems in panel data. Here a number of conceptually quite different methods have been developed. We compare the predictive accuracy of three methods with an ensemble method and find that the latter dominates. These results show that ensemble methods are a practical and effective method for the type of data configurations typically encountered in empirical work in economics, and that these methods deserve more attention.

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