Fire Occurrence Probability Mapping of Northeast China With Binary Logistic Regression Model

Abstract: The number of micro-entrepreneurs and the dominant number of micro enterprises compared to medium and large-scale enterprises in Indonesia are not balanced by the provision of access to credit and venture capital for micro businesses. This resulted in a micro-sector sector identical to the poor being vulnerable to exploitation by moneylenders who exploit the difficulties of micro entrepreneurs accessing credit from the banking sector. This study examines the factors that determine the accessibility of credit by micro entrepreneur in Bojonegoro regency. A total sum of 270 micro entrepreneurs who have applied for banking loan were sampled from the study area. With an binary logistic regression model the research resulting that education, skill on entrepreneur, and monthly net profits generated by the microenterprise are significant in determining the accessibility of microcredit. Keywords: micro entrepreneur, microcredit, credit accessibility Abstrak: Perkembangan jumlah pengusaha mikro serta dominannya jumlah usaha mikro dibandingkan dengan usaha menengah dan usaha besar di Indonesia, tidak diimbingi dengan penyediaan akses kredit dan modal usaha bagi para pelaku usaha mikro. Hal tersebut mengakibatkan sektor usaha mikro yang identik dengan masyarakat miskin rentan dieksploitasi oleh rentenir yang memanfaatkan sulitnya para pengusaha mikro mengakses kredit dari sektor perbankan. Penelitian ini menggunakan data primer yang di ambil langsung dari pengusaha mikro dengan teknik kuesioner. Analisis data dengan metode binary logistic regression mendapatkan hasil variabel yang berpengaruh signifikan terhadap akses kredit para pengusaha mikro adalah variabel usia pengusaha, laba bersih usaha tiap bulan, dan jumlah karyawan yang di pekerjakan. Kata kunci : usaha mikro, microcredit, akses kredit

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ESTIMATION OF THE BINARY LOGISTIC REGRESSION MODEL PARAMETER USING BOOTSTRAP RE-SAMPLING

Latin American Applied Research - An international journal ◽

10.52292/j.laar.2018.228 ◽

2018 ◽

Vol 48 (3) ◽

pp. 199-204 ◽

Cited By ~ 1

Author(s):

R. LI ◽

J. ZHOU ◽

L. WANG

Keyword(s):

Logistic Regression ◽

Parameter Estimation ◽

Maximum Likelihood ◽

Regression Model ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Parametric Bootstrap ◽

Binary Logistic Regression Model ◽

Bayesian Bootstrap ◽

Non Parametric

In this paper, the non-parametric bootstrap and non-parametric Bayesian bootstrap methods are applied for parameter estimation in the binary logistic regression model. A real data study and a simulation study are conducted to compare the Nonparametric bootstrap, Non-parametric Bayesian bootstrap and the maximum likelihood methods. Study results shows that three methods are all effective ways for parameter estimation in the binary logistic regression model. In small sample case, the non-parametric Bayesian bootstrap method performs relatively better than the non-parametric bootstrap and the maximum likelihood method for parameter estimation in the binary logistic regression model.

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Die Flexion der Indefinita jemand und niemand

Zeitschrift für Germanistische Linguistik ◽

10.1515/zgl-2021-2028 ◽

2021 ◽

Vol 49 (2) ◽

pp. 209-243

Author(s):

Linnéa Weitkamp

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Influencing Factors ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model ◽

Corpus Study ◽

Frequent Use ◽

Current Variation ◽

Reference Corpus

Abstract This article investigates the inflection of the German indefinite pronouns jemand and niemand in the accusative and dative. The pronouns are used both with inflectional suffix (jemanden/jemandem, niemanden/niemandem) and without (jemand, niemand) and are thus an example of current variation in contemporary German. The grammars take an unusually liberal stance and describe both forms as correct, partially even with preference to the uninflected form. A corpus study which examines conceptually written data of the DeReKo (German reference corpus) and conceptually oral data of the DECOW16B (German web corpus), shows that over 90 % of occurrences are inflected. But almost 10 % of uninflected forms show that these formations are no arbitrary errors either. To find out what influences the presence or absence of the inflectional ending, a binary logistic regression model was calculated. The following factors proved to be significant influencing factors for inflection: the degree of formality (DeReKo vs. DECOW16B), the lexeme (jemand vs. niemand), the case (acc vs. dat), government by preposition vs. government by verb and the following nominalized adjective (jemand anderen). With regard to the different inflectional suffixes, the frequent use of -en in the dative stood out in particular. Although this form is classified as erroneous in all grammars, almost 30 % of the dative occurrences in informal DECOW16B data are formed in this way.

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Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia

International Journal of Climate Change Strategies and Management ◽

10.1108/ijccsm-01-2019-0002 ◽

2020 ◽

Vol 12 (4) ◽

pp. 463-476

Author(s):

Hurgesa Hundera Hirpha ◽

Sylvester Mpandeli ◽

Amare Bantider

Keyword(s):

Climate Change ◽

Logistic Regression ◽

Regression Model ◽

Climate Change Adaptation ◽

Logistic Regression Model ◽

Smallholder Farmers ◽

Binary Logistic Regression ◽

Adaptation Strategies ◽

Binary Logistic Regression Model ◽

Content Type

Purpose The Ethiopian economy is mainly based on the rain-fed agriculture practiced by smallholder farmers. The sector is highly vulnerable to climate change impacts. This study aims to examine the determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. Design/methodology/approach A cross-sectional survey design was used to collect quantitative data using questionnaire with 351 randomly selected smallholder farmers. To collect qualitative data focus group discussions, key informant interviews and field observations were also used. Triangulated with thematic analysis, descriptive statistics and binary logistic regression model were used for the analysis. Findings The result indicated that the majority of the smallholder farmers use at least one climate change adaptation strategy in their local areas though the strategy is generally weak. In this regard, some of the dominant climate change adaptation activities identified in the study area are using improved crop varieties, planting trees, watershed management, adjusting planting date and terracing. The result from binary logistic regression model showed that age and sex of household head, as well as their education, family size, access to agricultural extension services and training on climate change significantly influence the practices of adaptation measures. Originality/value This study would help the practitioners to modify the existing weak adaptation activities by introducing advanced and technological-based adaptation strategies to the rural farming communities.

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Assessment of ardeidae waterfowl habitat suitability based on a binary logistic regression model

Acta Ecologica Sinica ◽

10.5846/stxb201109151350 ◽

2012 ◽

Vol 32 (12) ◽

pp. 3722-3728

Author(s):

邹丽丽 ZOU Lili ◽

陈晓翔 CHEN Xiaoxiang ◽

何莹 HE Ying ◽

黎夏 LI Xia ◽

何执兼 HE Zhijian

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Habitat Suitability ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model ◽

Waterfowl Habitat

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Procurement planning as a strategic tool for public procurement effectiveness: Experience from selected public procuring entities in Dodoma city, Tanzania

Journal of Public Procurement ◽

10.1108/jopp-05-2020-0047 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ismail Abdi Changalima ◽

Gift Onesmo Mushi ◽

Shadrack Samwel Mwaiseje

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Public Procurement ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model ◽

Cross Sectional ◽

Content Type ◽

Survival And Development ◽

Procurement Planning

Purpose The significance of the public procurement function is on the survival and development of procuring entities and that of a nation at large. This study aims to focus on examining the influence of procurement planning on the effectiveness of public procurement, experience from selected public procuring entities in Dodoma city, Tanzania. Design/methodology/approach A cross-sectional design was adopted from which data were collected from 146 respondents who were purposively chosen from several public procuring entities located at Dodoma city in the United Republic of Tanzania by using a survey structured questionnaire and analysed through a binary logistic regression model. Findings Findings revealed that procurement planning as a strategic function significantly influences the effectiveness of public procurement. The binary logistic regression model included the implementation of prepared procurement plans (p = 0.039), the involvement of users as stakeholders and important institutional actors in public procurement (p = 0.033), compliance to procurement laws and regulations when planning (p = 0.016) and adequacy of budget (p = 0.042) as predictors of procurement planning were tested to be significantly related to the effectiveness of public procurement. It was concluded that public procuring entities can achieve public procurement effectiveness through procurement planning. Social implications The implications and policy recommendations of the findings of this study would be useful to procurement practitioners mostly in public procuring entities. Originality/value This study contributes to adding knowledge to the existing body of knowledge on procurement planning as an imperative activity in public procurement in Tanzania.

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