Examination of Long-Term Growth of Cryptobranchus alleganiensis Predicted by Linear Regression Methods

Copeia ◽  
1985 ◽  
Vol 1985 (2) ◽  
pp. 492 ◽  
Author(s):  
Chris L. Peterson ◽  
Milton S. Topping ◽  
Robert F. Wilkinson ◽  
Charles A. Taber
Keyword(s):  
Linear Regression ◽  
Regression Methods ◽  
Cryptobranchus Alleganiensis

scholarly journals Quantitative Estimation of the Impact of Precipitation and Land Surface Change on Hydrological Processes through Statistical Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Muhammad Saifullah ◽  
Zhijia Li ◽  
Qiaoling Li ◽  
Muhammad Zaman ◽  
Sarfraz Hashim
Keyword(s):  
Linear Regression ◽  
Land Surface ◽  
Quantitative Estimation ◽  
Precipitation Variability ◽  
Annual Runoff ◽  
Catchment Scale ◽  
Surface Change ◽  
Regression Methods ◽  
The Impact

Precipitation variability and land surface changes are the two primary factors that affect basin hydrology, and thus estimation of their impact is of great importance for sustainable development at a catchment scale. In this study, we investigated the long-term changes in precipitation and runoff, from 1961 to 2011, in the Yihe River basin by Mann-Kendall test. A new method of trend pattern was put forward and used to identify the trends of precipitation and runoff, which indicated that the basin had a decreasing trend in annual runoff. The change point occurred in the year 1985 dividing the long-term series into two periods. Precipitation elasticity and linear regression methods were used to quantify the impact of precipitation and land surface change on runoff and provided consistent results of the percentage change in an annual runoff for the postchange period. Use of these methods reveals that the reduction in annual runoff is mainly due to precipitation variability of 56.38–67.68% and land surface change of 43.62–32.32%, as estimated by precipitation elasticity and linear regression methods, respectively. Due to the rapid growth of urbanization, the land surface change increased from 1990 to 2010. The result of this study can provide a reference for the management of regional water resources.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

scholarly journals Generating a Baseline Map of Surface Fuel Loading Using Stratified Random Sampling Inventory Data through Cokriging and Multiple Linear Regression Methods

2021 ◽  
Vol 13 (8) ◽  
pp. 1561
Author(s):  
Chinsu Lin ◽  
Siao-En Ma ◽  
Li-Ping Huang ◽  
Chung-I Chen ◽  
Pei-Ting Lin ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Fuel Load ◽  
Estimation Accuracy ◽  
Slope Aspect ◽  
Stratified Random Sampling ◽  
Inventory Data ◽  
Fuel Loading ◽  
Regression Methods

Surface fuel loading is a key factor in controlling wildfires and planning sustainable forest management. Spatially explicit maps of surface fuel loading can highlight the risks of a forest fire. Geospatial information is critical in enabling careful use of deliberate fire setting and also helps to minimize the possibility of heat conduction over forest lands. In contrast to lidar sensing and/or optical sensing based methods, an approach of integrating in-situ fuel inventory data, geospatial interpolation techniques, and multiple linear regression methods provides an alternative approach to surface fuel load estimation and mapping over mountainous forests. Using a stratified random sampling based inventory and cokriging analysis, surface fuel loading data of 120 plots distributed over four kinds of fuel types were collected in order to develop a total surface fuel loading model (lntSFL-BioTopo model) and a fine surface fuel model (lnfSFL-BioTopo model) for generating tSFL and fSFL maps. Results showed that the combination of topographic parameters such as slope, aspect, and their cross products and the fuel types such as pine stand, non-pine conifer stand, broadleaf stand, and conifer–broadleaf mixed stand was able to appropriately describe the changes in surface fuel loads over a forest with diverse terrain morphology. Based on a cross-validation method, the estimation of tSFL and fSFL of the study site had an RMSE of 3.476 tons/ha and 3.384 tons/ha, respectively. In contrast to the average loading of all inventory plots, the estimation for tSFL and fSFL had a relative error of 38% (PRMSE). The reciprocal of estimation bias of both SFL-BioTopo models tended to be an exponential growth function of the amount of surface fuel load, indicating that the estimation accuracy of the proposed method is likely to be improved with further study. In the regression modeling, a natural logarithm transformation of the surface fuel loading prevented the outcome of negative estimates and thus improved the estimation. Based on the results, this paper defined a minimum sampling unit (MSU) as the area for collecting surface fuels for interpolation using a cokriging model. Allocating the MSUs at the boundary and center of a plot improved surface fuel load prediction and mapping.

scholarly journals Statistical Estimates of the Pulsar Glitch Activity

Universe ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Alessandro Montoli ◽  
Marco Antonelli ◽  
Brynmor Haskell ◽  
Pierre Pizzochero
Keyword(s):  
Linear Regression ◽  
Upper Bound ◽  
Bootstrap Method ◽  
Waiting Times ◽  
Statistical Estimates ◽  
Equal Variance ◽  
Linear Fit ◽  
The Moment ◽  
The Bootstrap Method

A common way to calculate the glitch activity of a pulsar is an ordinary linear regression of the observed cumulative glitch history. This method however is likely to underestimate the errors on the activity, as it implicitly assumes a (long-term) linear dependence between glitch sizes and waiting times, as well as equal variance, i.e., homoscedasticity, in the fit residuals, both assumptions that are not well justified from pulsar data. In this paper, we review the extrapolation of the glitch activity parameter and explore two alternatives: the relaxation of the homoscedasticity hypothesis in the linear fit and the use of the bootstrap technique. We find a larger uncertainty in the activity with respect to that obtained by ordinary linear regression, especially for those objects in which it can be significantly affected by a single glitch. We discuss how this affects the theoretical upper bound on the moment of inertia associated with the region of a neutron star containing the superfluid reservoir of angular momentum released in a stationary sequence of glitches. We find that this upper bound is less tight if one considers the uncertainty on the activity estimated with the bootstrap method and allows for models in which the superfluid reservoir is entirely in the crust.

Linear Regression Methods

2016 ◽  
pp. 161-215
Author(s):  
Brian Steele ◽  
John Chandler ◽  
Swarna Reddy
Keyword(s):  
Linear Regression ◽  
Regression Methods

scholarly journals Pengaruh Religiusitas, Sikap, Norma Subjektif, dan Kontrol Perilaku terhadap Niat Membeli Produk Kosmetik Halal di Fakultas Ekonomi dan Bisnis Universitas Ahmad Dahlan Yogyakarta

2020 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Reza Rizki Nur Ikhsan ◽  
Sukardi Sukardi
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Subjective Norms ◽  
Cosmetic Products ◽  
Validity And Reliability ◽  
F Test ◽  
Muslim Students ◽  
Regression Methods

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>ABSTRACT</span></p><p><span>This study aims to determine the effect of religiosity, attitudes, subjective norms and behavioral control on the intention to buy halal cosmetic products on Muslim students at the Faculty of Economics and Business, Ahmad Dahlan University, Yogyakarta. This research is a survey research using a questionnaire as an instrument. For testing the instrument using a test of validity and reliability. As for the technique of data analysis using multiple linear regression methods, because the variables used are more than two variables, with the F test and t test. The results of the study showed that the religiosity variable (X1) did not significantly influence the intention to buy halal cosmetics, this was indicated by the significance value&gt;α(0.24)&gt;0.05) attitude (X2) had no significant effect on the intention to buy halal cosmetics, this is shown from the significance value&gt;α(0.509&gt;0.05), subjective norm (X3) does not affect the intention to buy halal cosmetics, this is indicated from the significance value&gt;α(0,250&gt;0.05), behavioral control (X4) influences on the interest in buying halal cosmetics, this is indicated by the significance value&lt;α(0,000&lt;0.05). Simultaneously the influence of religiosity, attitudes, subjective norms, and behavioral control on the intention to buy halal cosmetic products at the Faculty of Economics and Business Ahmad Dahlan University has a significant effect on the intention to buy halal cosmetics (Y). This is evidenced by the calculation of the F test of 28,135 with a significance of 0,000.</span></p><p><span>Keywords</span><span>: </span><span>Religiosity, Attitude, Intention, Halal Cosmetics </span><span>ABSTRAK</span></p><p><span>Penelitian ini bertujuan untuk mengetahui pengaruh religiusitas, sikap, norma subyektif dan kontrol perilaku terhadap niat membeli produk kosmetik halal pada mahasiswi muslim di Fakultas Ekonomi dan Bisnis Universitas Ahmad Dahlan Yogyakarta. Penelitian ini merupakan penelitian survei dengan menggunakan kuesioner sebagai instrumennya. Untuk pengujian instrumen menggunakan uji validitas dan reliabilitas. Sedangkan untuk Teknik analisis data menggunakan metode regresi linier berganda, karena variabel yang digunakan lebih dari dua variabel, dengan uji F dan uji t. Hasil dari penelitian menunjukkan bahwa variabel religiusitas (X</span><span>1</span><span>) tidak berpengaruh signifikan terhadap minat beli kosmetik halal, hal ini ditunjukkan dari nilai signifikansi&gt;α(0,24&gt;0,05) sikap (X</span><span>2</span><span>) tidak berpengaruh signifikan terhadap minat beli kosmetik halal, hal ini ditunjukkan dari nilai signifikansi&gt;α(0,509&gt;0,05), norma subjektif (X</span><span>3</span><span>) tidak berpengaruh terhadap minat beli kosmetik halal, hal ini ditunjukkan dari nilai signifikansi&gt;α(0,250)&gt;0,05), kontrol perilaku (X</span><span>4</span><span>) berpengaruh terhadap minat beli kosmetik halal, hal ini ditunjukkan dari nilai signifikansi&lt;α(0,000&lt;0,05). Secara simultan pengaruh religiusitas, sikap, norma subjektif, dan kontrol perilaku terhadap niat membeli produk kosmetik halal di Fakultas Ekonomi dan Bisnis Universitas Ahmad Dahlan berpengaruh signifikan terhadap niat membeli kosmetik halal (Y). Hal ini terbukti dengan perhitungan uji F sebesar 28,135 dengan signifikansi 0,000.</span></p></div></div><img src="blob:http://ejournal.uigm.ac.id/d2905649-5db7-4cde-b6fb-18abb055c78e" alt="page1image51464640" width="101.040000" height="0.480000" /><div class="layoutArea"><div class="column"><p><span>Kata Kunci: </span><span>Religiusitas, Sikap, Niat, Kosmetik Halal</span></p></div></div></div>

scholarly journals IMPLANTS AND INJECTIONS ARE FAVORITE CONTRACEPTION TOOLS IN SUMATERA SELATAN

2019 ◽  
Vol 5 (3) ◽  
pp. 147-150
Author(s):  
Mukni Mukni
Keyword(s):  
Regression Analysis ◽  
Family Planning ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Contraceptive Methods ◽  
Poverty Level ◽  
Short Term ◽  
Simple Linear Regression Analysis

Background: The choice of contraception by family planning acceptors greatly determines the success rate of the family planning program, because not all contraceptives are suitable for someone. This study aims to determine what types of contraceptives chosen by family planning acceptors and whether there is a relationship between the selection of contraceptives there is a relationship with the poverty level in the District / City in South Sumatra in 2015, 2016 and 2017. The source of data obtained from the Provincial BPS South Sumatra. Methodology: This study uses a descriptive approach with a simple linear regression analysis method. Results: The results of the analysis were grouped into two, first long-term contraception method KB IUD, MOW, MOP and implants, both short-term contraceptive methods namely injection KB, pill and condom from 17 regencies / cities in South Sumatra. Conclusion: contraception devices that are mostly chosen by long-term contraceptive methods are implants (10000-35000) or 10-20 times larger than other contraceptives. Short-term contraceptive methods are injections, (7700 - 76000) or 5-7 times greater than other contraceptives. From the simple linear regression analysis it turns out that the relationship of long-term contraceptive selection by acceptors with the poverty level is R² = 0.7382 and the short-term method R² = 0.9223. District / City Governments in South Sumatra should provide alokon (contraceptive devices and drugs) in accordance with the type and amount in the field to be on target

scholarly journals PENGARUH KOMITE AUDIT, RETURN ON ASSETS (ROA), DAN LEVERAGE TERHADAP PENGHINDARAN PAJAK

2019 ◽  
Vol 3 (01) ◽  
pp. 9-20
Author(s):  
Fabia Tiala ◽  
Ratnawati Ratnawati ◽  
M.Taufiq Noor Rokhman
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Audit Committee ◽  
Stock Exchange ◽  
Tax Avoidance ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Return On Assets ◽  
Regression Methods ◽  
Dependent Variables

This study aims to test and describe Tax Avoidance which is influenced by the Audit Committee, Return On Assets (ROA), and Leverage. This study uses two variables, namely the independent and dependent variables, and the source of data in this study in the form of financial statements of mining sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) in 2015-2017. Data analysis was performed by classical assumption test and hypothesis testing in this study using multiple linear regression methods. The results of this study indicate that partially the Audit Committee and Leverage variables have a significant effect on tax avoidance, while the Return on Assets (ROA) does not affect tax avoidance.

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