Statistical analysis of ambient air PM10 contami-nation during winter periods for Ruse region, Bulgaria.

The sources of dust on the territory of Ruse region, Bulgaria are industry, transport and domestic heating by solid fuel. PM10 (particulate matter with a diameter between 2.5 and 10 μm) levels for Ruse mark a significant increase during the autumn-winter period compared to the levels during the spring-summer period [1]. Obviously there is a relationship between PM10 contamination levels and ambient air temperature. The lower the temperatures are, the higher the PM10 levels are. The biggest peak of PM10 levels for the autumn-winter period is usually observed in January months. It is in January that the number of days in which there is exceedance of the limit values of the PM10 levels is maximum observed. Also in January months the day and night temperatures are the lowest and usually they do not pass 0°C for many days of the month. To understand better this relationship we provide a statistical analysis of ambient air PM10 contamination during winter periods. Correlations between the measured PM10 values and the respective temperatures measured for January months for different years are presented. Descriptive statistics of PM10 and some atmospheric characteristics as well as linear regression analysis are calculated and commented in the paper.

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Evaluating Competition Constraint on Land Accessibility by Urban Crop Farmers in Lagos

Nigerian Journal of Environmental Sciences and Technology - March 2018 ◽

10.36263/nijest.2017.01.0031 ◽

2017 ◽

Vol 1 (1) ◽

pp. 90-98

Author(s):

C. O. Odudu

Keyword(s):

Regression Analysis ◽

Agricultural Development ◽

Missing Values ◽

Linear Regression Analysis ◽

Descriptive Statistics ◽

Marginal Lands ◽

Farming Communities ◽

Multi Stage ◽

Crop Farming ◽

Lagos State

The study evaluated the constraint of competition on urban crop farming in Lagos with a view to identifying issues that must be resolved to facilitate practitioners’ land accessibility in the metropolis. Crop farmers in seven out of ten communities where urban crop farming was found to be thriving within the metropolis were selected through multi-stage sampling which involved both purposive and simple random samplings and were administered with structured questionnaires. All the farming communities were delineated by the Lagos State Agricultural Development Authority (LSADA). Data collected were analysed using descriptive statistics while linear regression analysis was used to test the formulated research hypothesis. The study showed that farmers were forced out (19.5%) of their locations, 10.3% vacated voluntarily, 1.4% left due to high rents, 2.9% unidentified and 67.8% were missing values. Urban farmers in the study area were, however, found not to be affected by competition and high rents as they were occupying marginal lands that did not attract other competing uses. The regression analysis showed that competition constraint accounted for 3.5% of farmers’ productivity establishing that competition with other uses significantly affected urban farmers’ productivity as they were consigned to marginal lands. The study therefore concluded that government should support/promote the activity by providing agricultural lands in designated areas of the metropolis for urban farming.

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Spectral Correlations in some Substituted Styryl (E)-4-((2-Oxopropyl)Diazenyl) Benzoic Acids

International Letters of Chemistry Physics and Astronomy ◽

10.18052/www.scipress.com/ilcpa.30.33 ◽

2014 ◽

Vol 30 ◽

pp. 33-43

Author(s):

V. Sathiyendiran ◽

K.G. Sekar ◽

Ganesamoorthy Thirunarayanan ◽

R. Arulkumaran ◽

R. Sundararajan ◽

...

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Linear Regression ◽

Linear Regression Analysis ◽

Benzoic Acids ◽

Effect Of Substituents ◽

Substituent Constants ◽

Multi Linear Regression ◽

Spectral Group

A series of titled compounds were prepared and analyzed their purities by literature method. The infrared and NMR spectral group frequencies of the compounds were assigned and correlated with Hammett substituent constants, F and R constants using single and multi linear regression analysis. From the results of statistical analysis, the effect of substituents on the above spectral frequencies was discussed.

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Towards Achievement of Gender Parity in Decision Making? Experience from the Participation of Male and Female MPs in the Parliament of Tanzania

Journal of Public Administration and Governance ◽

10.5296/jpag.v9i1.14180 ◽

2019 ◽

Vol 9 (1) ◽

pp. 126

Author(s):

Idda Lyatonga Swai ◽

Orest Sebastian Masue

Keyword(s):

Decision Making ◽

Regression Analysis ◽

Linear Regression ◽

Linear Regression Analysis ◽

Active Role ◽

Multiple Linear Regression Analysis ◽

Descriptive Statistics ◽

Women Empowerment ◽

Male And Female ◽

Gender Parity

There have been gradual efforts to increase the number of female MPs in Tanzania through women empowerment creation of quotas (special seats) to enable them play an active role in this important decision making body. This article seeks to find out whether the increase in number of women MPs in the Tanzanian Parliament has influenced women’s degree of intervention in terms of: (1) asking basic questions; (2) asking supplementary questions; and (3) making contribution to parliamentary discussions. We obtained data from the official website of the Parliament of Tanzania, and analyzed them through descriptive statistics and multiple linear regression analysis. The results suggest that an increase in number of female MPs will increase their level of intervention; hence, we are inclined to the conclusion that numbers matter in determining female MPs’ influence in the Parliament.

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Physical and chemical characterization of the particulate matter suspended in aerosols from the urban area of Belgrade

Journal of the Serbian Chemical Society ◽

10.2298/jsc0911319j ◽

2009 ◽

Vol 74 (11) ◽

pp. 1319-1333 ◽

Cited By ~ 7

Author(s):

Jasminka Joksic ◽

Milena Jovasevic-Stojanovic ◽

Alena Bartonova ◽

Mirjana Radenkovic ◽

Karl-Espen Yttri ◽

...

Keyword(s):

Trace Elements ◽

Particulate Matter ◽

Urban Area ◽

Chemical Characterization ◽

Ambient Air ◽

Pollution Sources ◽

Limit Values ◽

Secondary Ions ◽

Physical And Chemical ◽

Mass Concentrations

Within this study, attempts were made to characterize the coarse and fine particulate aerosol fractions in urban area of Belgrade and define the inorganic chemical composition of the aerosol fractions. For this purpose, daily deposits of PM10, PM2.5 and PM1 aerosol fractions were collected during spring and autumn sampling periods in 2007 and analyzed for the PM mass concentrations, trace elements and secondary ions. The results obtained in the two campaigns showed average daily mass concentrations of 37 and 44 ?g/m3 for PM10, 22 and 23 ?g/m3 for PM2.5 and 15 and 17 ?g/m3 for the finest particulate matter fraction PM1 with the maximums exceeding the limit values set by the EU air quality regulations. A correlation with the gas-phase ambient air pollutants SO2, NO2 and O3 was found and is discussed. The concentrations of trace elements (Mg, Al, K, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Sb, Ba, Tl, Pb and Th) and secondary ions (NO3 -, SO4 2-, NH4 +, K+, Ca2+ and Na+) determined in the PM10, PM2.5 and PM1 aerosol fractions showed levels and distributions indicating soil and traffic-related sources as the main pollution sources. This study was conducted as the first step of PM assessment in order to point out main air pollution sources and suggest a remedy strategy specific for this region.

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Particulate Matter in Ambient Air

Journal for European Environmental & Planning Law ◽

10.1163/187601007x00479 ◽

2007 ◽

Vol 4 (4) ◽

pp. 278-288 ◽

Cited By ~ 5

Author(s):

Reinhold Görgen ◽

Udo Lambrecht

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Human Health ◽

Ambient Air ◽

Limit Values ◽

Limit Value ◽

European Institutions ◽

Negative Effect ◽

Time Extension ◽

The Eu

AbstractNumerous studies have demonstrated the negative effect of particulate matter on human health. The EU therefore introduced ambitious limit values for particulate matter (PM10) in ambient air as early as 1999: an annual limit and a daily limit that can be exceeded on up to 35 days a year. These values are binding since 2005. The daily limit is still exceeded in many cities throughout Europe. Heated debates on the future of the daily limit are taking place at all levels of the EU in the context of the negotiations on the Commission's proposal on a new Air Quality Directive. Suggestions range from allowing a compliance time extension to increasing the number of days the daily limit can be exceeded, and abolition of the daily limit value. The deliberations have not yet been concluded, but the decisive European institutions have voiced support for keeping the daily limit while at the same time extending the compliance deadline. In this article, we will make the point that the problem can most probably be solved by allowing a compliance extension of around 5 years after the new directive enters into force. This would give the competent local authorities and the EU the time necessary to intensify their measures in order to comply with the daily limit in most areas where it is currently exceeded. An increase in the number of days the limit values may be exceeded, as called for by the European Parliament (EP), would therefore amount to an unnecessary lowering of the limit value.

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The Influence of Work Facilities on Employee Performance at the Regional Financial Management Agency Secretariat Section of South Sulawesi Province

Jurnal Ad ministrare ◽

10.26858/ja.v6i1.9436 ◽

2019 ◽

Vol 6 (1) ◽

pp. 35

Author(s):

Nurul Jihan Pratiwi ◽

Jamaluddin Jamaluddin ◽

Risma Niswaty ◽

Rudi Salam

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Linear Regression ◽

Financial Management ◽

Employee Performance ◽

Linear Regression Analysis ◽

Simple Linear Regression ◽

Management Agency ◽

Analysis Techniques ◽

South Sulawesi

Adequate work facilities with suitable conditions that are well maintained and will help smooth the work process in an organization. This study aims to determine the use of work facilities, on the performance of employees in the section of the Regional Financial Management Agency Secretariat of South Sulawesi Province. Therefore, to achieve these objectives researchers used data collection techniques with observation, questionnaires, and documentation with a population of 35 people. While the data analysis techniques used are descriptive statistical analysis using percentages and for inferential statistical analysis techniques using data normality tests, product moment correlation analysis, and simple linear regression analysis. The results of the study indicate that the work facilities in the section of the South Sulawesi Provincial Financial Management Agency Secretariat are in a good category, in terms of indicators: machinery and equipment, infrastructure, work equipment, land, and buildings. For the quality of employee performance in the section of the South Sulawesi Provincial Financial Management Agency Secretariat in a good category, which is viewed from: quality, quantity, timeliness, effectiveness, and independence. Based on the product moment correlation test analysis, there is a positive and significant influence on the use of work facilities on the performance of employees in the section of the Regional Financial Management Agency of South Sulawesi Province at 17.00%, stated to be accepted with a moderate level of influence. From the results of simple linear regression analysis shows that there is an influence of work facilities on employee performance in the section of the Regional Financial Management Agency Secretariat of South Sulawesi Province.

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PENGARUH PENERAPAN SELF ASSESSMENT SYSTEM, PENGETAHUAN WAJIB PAJAK, DAN KUALITAS PELAYANAN TERHADAP KEPATUHAN WAJIB PAJAK (Studi pada Wajib Pajak Orang Pribadi Non Karyawan di KPP Pratama Ciamis Tahun 2017)

Jurnal Akademi Akuntansi ◽

10.22219/jaa.v2i1.8172 ◽

2019 ◽

Vol 2 (1) ◽

Author(s):

Irna Liani Putri Anjanni

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Service Quality ◽

Linear Regression Analysis ◽

Total Sample ◽

Multiple Linear Regression Analysis ◽

Assessment System ◽

Self Assessment ◽

System Service ◽

Descriptive Statistical Analysis

The purpose of this research is to find out how the effect implementation of Self Assessment System (SAS), Tax Payer Knowledge (PWP), Service Quality (KP) on Non-employee Personal Taxpayer Compliance at Tax Service Pratama Ciamis (KPP) in 2017. This study uses incidental sampling with a total sample of 99 non-employee Personal Taxpayers at KPP Pratama Ciamis. The analytical method in this study is descriptive statistical analysis, multiple linear regression analysis, and hypothesis analysis. This study shows that the implementation of SAS, PWP, and KP simultaneous affects the compliance of non-employee individual taxpayers at KPP Pratama Ciamis, and then the results of partial testing show that they are have a positive and significant effect on the compliance of non-employee Personal Taxpayers at KPP Pratama Ciamis.Keywords: Non-employee Personal Taxpayers, Self Assessment System, Service Quality, Taxpayer Knowledge, Taxpayer Compliance

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Circular(2)-linear regression analysis with iteration order manipulation

International Journal of Advances in Intelligent Informatics ◽

10.26555/ijain.v3i2.90 ◽

2017 ◽

Vol 3 (2) ◽

pp. 107

Author(s):

Muhamad Irpan Nurhab ◽

Badaruddin Nurhab ◽

Tuti Purwaningsih ◽

Ming Foey Teng

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Linear Regression ◽

Linear Regression Analysis ◽

Circular Data ◽

Linear Statistic ◽

Statistic Method ◽

Analysis Techniques ◽

Circular Regression ◽

Selection Of

The selection of statistical analysis techniques to be used must be adjusted to the data. Data in the form of time cycle or point position to the angle of possibility is no longer suitable to be analyzed using classical linear statistic method because the direction and the angle influence the position between one data with other data. This paper aims to examine the comparison of Linear Regression Analysis with Circular Regression Analysis. The writing method used is literature review using simulation data. Simulation of data and analysis is done with the help of R program. The results showed that circular data is better in Circular Regression Analysis than Classical Linear Regression Analysis, so the conclusion is Selection of statistical analysis techniques to be used must be adjusted with the data that already held. Data in the form of time cycles or position of the point to the angle of probability is no longer suitable to be analyzed using classical linear statistic method because the direction and the angle influence the position between one data with other data.

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Predicción de la lealtad de los usuarios de centros deportivos privados. Variables de gestión y bienestar subjetivo (Prediction of the loyalty of costumers of private sports centers. Management variables and subjective well-being)

Retos ◽

10.47197/retos.v38i38.73345 ◽

2019 ◽

pp. 16-19 ◽

Cited By ~ 1

Author(s):

Fernando García Pascual ◽

Mario Alguacil ◽

Núria Molina García

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Multiple Regression Analysis ◽

Well Being ◽

Descriptive Statistics ◽

The Other ◽

Subjective Well Being ◽

The One ◽

Emotional Value ◽

Important Purpose

Una de las finalidades más importantes en el contexto de los servicios deportivos es conocer cuáles son las intenciones futuras del usuario, por ello tratar de analizar la lealtad del usuario, se ha convertido en una de los objetivos principales dentro de la gestión del deporte, en concreto, los centros deportivos. Por ello, el objetivo es conocer que influencia tienen las demás variables de gestión y el bienestar subjetivo sobre esta dimensión que mide las intenciones futuras del usuario, como es la lealtad. La muestra de este trabajo estaba formada por 303 usuarios de la instalación deportiva (164 hombres, 139 mujeres). Para el análisis estadístico se utilizó con el programa SPSS v.23. Todas las variables que formaban el modelo obtuvieron buenos resultados en cuanto a la fiabilidad, siendo el valor emocional el que mayor valor de alfa de Cronbach obtuvo. Tras calcular los estadísticos descriptivos de las diferentes escalas del modelo, se realiza un análisis de regresión múltiple, y se observa como este explica el 38% de la varianza, mostrando todas las variables significatividad con la lealtad del usuario, menos la variable que mide el valor precio. Tras conocer que variables influyen más en la predicción de la lealtad, ofrecer a los gestores deportivos información acerca de qué variables reforzar, ayudará a obtener usuarios más leales y en consecuencia fieles con el servicio. Abstract. One of the most important purpose in the context of sports services is to know what the costumer's future intentions are, so trying to analyze costumer loyalty has become one of the main objectives within the management of sport, specifically sports centers. Therefore, the aim is to know what influence the other management variables and subjective well-being have on this dimension that measures the future intentions of the costumer, such as loyalty. The sample of this work was made up of 303 costumers of the sports centre (164 men, 139 women). For statistical analysis it was used with SPSS v.23. All the variables that formed the model obtained good results in terms of reliability, being the emotional value the one that obtained the highest alpha value of Cronbach. After calculating the descriptive statistics of the different scales of the model, a multiple regression analysis is carried out, and it is observed how this one explains 38% of the variance, showing all the variables significance with the loyalty of the user, excepting the variable that measures the price value. After knowing which variables influence loyalty prediction, providing sports managers with information about which variables to reinforce will help to obtain more loyal costumers and consequently faithful to the service.

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Pengaruh Pengetahuan Wajib Pajak, Kesadaran Wajib Pajak, dan Sanksi Perpajakan terhadap Kepatuhan Wajib Pajak Kendaraan Bermotor

Jurnal Kajian Akuntansi dan Auditing ◽

10.37301/jkaa.v15i2.30 ◽

2021 ◽

Vol 15 (2) ◽

pp. 143-154

Author(s):

Utami Widya Karlina ◽

Mukhlizul Hamdi Ethika

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Sampling Method ◽

Linear Regression Analysis ◽

Tax Compliance ◽

Multiple Linear Regression Analysis ◽

Test Results ◽

Validity And Reliability ◽

Positive Effect ◽

Descriptive Statistical Analysis

This study aims to prove the effect of knowledge, awareness and tax sanctions on vehicle taxpayer compliance in Kabupaten Kerinci and Sungai Penuh City. Respondents who participated in this study were 100 respondents and the samples were taken using accidental sampling method. The data was collected using a questionnaire and the data was tested using descriptive statistical analysis, validity and reliability tests, classical assumption tests and multiple linear regression analysis. The test results show that knowledge and awareness of taxpayers have a positive effect on tax compliance, while tax sanctions have no effect on vehicle taxpayer compliance.

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