Research & Reviews: Journal of Statistics
https://sciencejournals.stmjournals.in/index.php/RRJoST
<p align="center"><strong><strong>Research & Reviews : Journal of <strong>Statistics (RRJoST</strong></strong>)</strong></p><p align="center"><strong><br /></strong></p><p align="center"><strong><br /></strong></p><p align="center"><strong><strong>ISSN: <strong>2278–2273</strong></strong> </strong><strong> </strong></p><p align="center"><strong>eISSN: </strong><strong>2278–2273</strong></p><p><strong> </strong></p><p> </p><p align="center"> Click <strong><a href="/index.php/RRJoST/about/editorialTeam">here </a></strong>for complete Editorial Board</p><p align="center"> </p><p align="center"><strong> Scientific Journal Impact Factor (SJIF):</strong> </p><p> </p><p><strong>Research & Reviews: Journal of Statistics (RRJoST):</strong> is an International e Journal focused towards the publication of current research work carried out under statistics. This journal covers all major fields of applications in statistics. It's a triannual journal published <strong>thrice a year.<span>started in 2011.</span></strong></p><p> </p><p><strong><strong><strong>Journal DOI no</strong>.: 10.37591/ R<strong>RJoST</strong></strong></strong></p><p> </p><p><strong>Focus and Scope Covers</strong></p><ul><li>Theoretical and Computational Statistics</li><li>Regression and Variance Analysis and Agricultural Statistics</li><li>Foundations of Statistical Inference and Statistical Decision Theory</li><li>Biostatistics, Testing Hypothesis and Parameter Estimation</li><li>Nonparametric methods and Sequential procedures</li><li>Time series, Statistical problems for Stochastic processes, Design of Experiments and Statistical Data Analysis.</li></ul><div> </div><div><strong><strong>Readership -</strong> </strong><span>Graduate, Postgraduate, Research Scholar, Faculties, Institutions.</span></div><div> </div><div><strong><strong><br /></strong></strong></div><div><strong><strong>Indexed in: </strong>DRJI, Citefactor, Journal TOC, Google Scholar</strong></div><div><strong><br /></strong></div><div><strong><strong><br /></strong></strong></div><div><strong><strong>Submission of Paper:</strong></strong></div><div id="journalDescription"><p>All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.</p><p> </p><div id="journalDescription"><p>Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration.</p><p> </p><p>Papers are accepted for editorial consideration through email <strong>info@stmjournals.com</strong> or <strong>mansi.editor@celnet.in</strong></p><p><strong><br /></strong></p><p><strong><br /></strong></p><p><strong>Abbreviation: <strong><strong>RRJoST</strong></strong></strong><em></em></p><p><em><br /><br /></em><strong></strong></p><p><strong>Frequency</strong>: Three issues per year</p><p> </p><p><strong><a href="/index.php/RRJoST/about/editorialPolicies#peerReviewProcess">Peer Reviewed Policy</a></strong></p><p> </p><p> </p><p><a title="Editorial Board" href="/index.php/RRJoST/about/editorialTeam">Editorial Board</a></p><p> </p><p><strong><a href="http://stmjournals.com/pdf/Author-Guidelines-stmjournals.pdf">Instructions to Authors</a></strong></p><p><strong>Publisher:</strong> STM Journals A division of: Consortium eLearning Network Private Ltd</p><p><strong>Address:</strong> A-118, 1<sup>st</sup> Floor, Sector-63, Noida, Uttar Pradesh-201301, India</p><p><strong>Phone no.:</strong> 0120-478-1213/ Email: mansi.editor@celnet.in</p></div></div>en-USResearch & Reviews: Journal of Statistics2348-7909<p align="center"><strong>Declaration and Copyright Transfer Form</strong></p><p align="center">(to be completed by authors)</p><p>I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is <strong>not</strong> under consideration of publication elsewhere.</p><ul><li>I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.</li><li>I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).</li><li>I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.</li><li> I/We also agree to the authorship of the article in the following order:</li></ul><p>Author’s name </p><p> </p><p>1. ________________</p><p>2. ________________</p><p>3. ________________</p><p>4. ________________</p><table width="100%" border="0" cellpadding="0"><tbody><tr><td valign="top" width="5%"><p align="center"> </p></td><td valign="top" width="95%"><p>We Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.</p></td></tr></tbody></table>Testing for equalities of several multinomial distributions
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3661
<p> In this article we have studied the testing of parameters of several multinomial distributions. The necessary conditional distribution of complete sufficient statistic of the parameter of interest is obtained by conditioning the complete sufficient statistics of nuisance parameter to be held fixed .Using this conditional distribution we have derived uniformly most powerful unbiased (UMPU) test for testing the hypothesis (i)Equality of two independent multinomial distributions and (ii) testing one of the parameters of multinomial distribution is equal to or larger than the corresponding parameters of another independent multinomial distribution. Asymptotic test have been derived for testing (i) and (ii).The application of these tests have been done to associate class in data mining.</p>Patel S.R.
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-12-302023-12-3012310.37591/rrjost.v12i3.3661Mathematical Analysis of prey-predator model
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3721
In this paper we considered a model with a prey and predator involve holling type -II functional response. The predator species is not only dependent on prey species but also have alternative food source. The mathematical model is characterized by the couple of differential equations. The model is well posed and possess positive solutions. The system is bounded and shows the property of permeance. The possible equilibrium points are identified. At each point local stability analysis is studied. The global stability analysis is also addressed using Lyapunov’s function approach. The sufficient condition is derived to prove that the system does not admit any periodic oscillations using Bendixen-Dulac criteria. Finally, numerical simulation is performed in support of analytical results.A. V. PapaRaoG. A. L. SatyavathiK. Sobhan Babu
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-12-222023-12-2212310.37591/rrjost.v12i3.3721An Inferential Statistical Analysis of Quantity Surveyors’ Awareness of Organisational Barriers to Risk Management Practices on Construction Projects
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3749
<p class="western" align="justify"><span style="color: #000000;"><span style="font-family: 'Times New Roman', serif;"><em>In this paper, we carry out research on stress related correlate factors in road accidents in Nigeria. The researchers identified four types of stress namely; mental stress, economic stress, road stress and insecurity stress. Each of these types of stress was measured (via its respective proxy variable) on perception index scales. The researchers collected data using the instrument of questionnaires. A simple random sampling technique was used to draw ten transport companies operating in Owerri for the study. Twenty (20) copies of questionnaire were distributed to each transport company’s highway drivers to respond. A total of one hundred and thirty-two (132) copies of questionnaire were correctly filled and returned and that formed our sample size for the study. The response rate was 66%, and it is considered reasonable for the research. The questions posed were ranked into 4-point Linkert scale. The attached scales (ranks) converted the data from ordinal to interval scale. We applied average and Karl Pearson’s correlation for the analysis. From the analysis, we observed that not all types of stress were significant. Again, we observed that the four identified stress types correlated with road accidents. Whereas the mental and economic stress correlate negatively with road accidents, road and insecurity stress correlate positively with road accidents. We rejected all the null hypotheses and conclude that there is correlation between stress and road accidents in Nigeria.</em></span></span></p>Alolote Ibim Amadi
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-11-242023-11-2412311210.37591/rrjost.v12i2.3749A Comprehensive Review of Statistical Analysis Techniques in Economic Data Studies
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3751
<p class="western" align="justify"><span style="font-family: Calibri, serif;"><span style="font-family: 'Times New Roman', serif;"><span><span lang="en-US"><em>Statistical analysis plays a key role in the field of economics, enabling scientists to extract meaningful information from large and complex data sets. It is essential for forming policies, comprehending market movements, and forecasting future economic scenarios. Choosing the right statistical analysis tools is crucial for gaining useful insights from economic data in this era of expanding data availability. Robust statistical analysis methods further increase the credibility and reliability of economic research by addressing complexity, removing data limitations and reducing bias, ultimately leading to more accurate and meaningful conclusions. With an emphasis on the value of exploratory data analysis, hypothesis testing, and regression analysis, the study begins by elucidating the fundamental ideas of statistical analysis in the context of economic data. The subject matter then moves on to descriptive statistics, focusing the importance of statistics like mean, median, and standard deviation in capturing the main trends and outliers in economic information. The conversation then shifts to inferential statistics, illustrating how statistical tests make it easier to infer significant results from sample data, which may subsequently be used to shed light on broader economic trends. The aim of this review article is to provide a comprehensive overview of the different statistical analysis techniques commonly used in the study of economic data. We examine the applications of these techniques in different economic contexts and highlight their strengths, limitations and potential challenges. This article also discusses the importance of robust statistical methods for making informed policy decisions and promoting evidence-based economic research.</em></span></span></span></span></p>Shubham NamdeoRashmi Jain
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-11-242023-11-24123424810.37591/rrjost.v12i2.3751Analysis of Mental, Economic, Road & Insecurity Stresses as a Correlate Factor for Road Accidents in Nigeria
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3720
<p class="western" align="justify"><span style="color: #000000;"><span style="font-family: 'Times New Roman', serif;"><em>In this paper, we carryout research on stresses as a correlate factor for road accidents in Nigeria. The researchers identified four types of stresses namely; mental stress, economic stress, road stress and insecurity stress. Each of these stresses were measured by their respective stressors and perception index scales. The researchers collected data using the instrument of questionnaires. A simple random sampling technique was used to draw ten transport companies from Owerri for the study. Twenty (20) questionnaires were distributed to each transport company’s highway drivers to respond. A total of one hundred and thirty-two (132) questionnaires were correctly filled and returned and that form our sample size for the study. The response rate was 66%, and it is considered reasonable for the research. The questions posed were ranked into 4-point Linkert scale. The attached scales (ranks) converted the data from ordinal to interval scale. We applied average and Karl Pearson’s correlation for the analysis. From the analysis, we observed that not all the stressors were significant. Again, we observed that the four identified stress types correlated with road accidents. Whereas the mental and economic stress correlate negatively with road accidents, road and insecurity stress correlate positively with road accidents. We rejected all the null hypotheses and conclude that there is correlation between stress and road accidents in Nigeria.</em></span></span></p>H. O. AmujiD. E. OnwuegbuchunamL. I. OkorojiC. C. NwachiK. O. OkekeA. C. Ejiogu
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-11-202023-11-20123212910.37591/rrjost.v12i2.3720Trends in Road Traffic Accidents and Implications on Road Safety Laws in Nigeria with Interest in the South-East Zone
https://sciencejournals.stmjournals.in/index.php/RRJoST/article/view/3709
In this paper, we carryout research on the trends in traffic accidents and implications on road safety laws in Nigeria with interest in the south-east zone. The study covers the five States that make up the zone, from 2020-2022. The data was collected from the FRSC Statistical Digest 2020-2022 and presented on quarterly basis. Descriptive analysis was adopted. From the analysis, we observed that: The fourth quarter(Q4) has lowest cases of total accident rate, followed by the second quarter(Q2), first quarter(Q1) and third quarter(Q3). Secondly, we observed that fourth quarter(Q4) has lowest cases of injured persons, followed by the second quarter(Q2), third quarter(Q3) and first quarter(Q1). Thirdly, we deduced that the first quarter(Q1) has lowest cases of death, followed by the second quarter(Q2), fourth quarter(Q4) and third quarter(Q3). Fourthly, we observed that second quarter(Q2) has lowest cases of persons involved in accidents, followed by the fourth quarter(Q4), first quarter(Q1) and third quarter(Q3). Again, we deduced that Imo State is stricter in the observance of the road traffic laws in the south-East and therefore has the lowest number of total accident, lowest number injured persons, lowest number killed and lowest number involved in accidents within the period under study; followed by Abia State; Ebonyi State; Anambra and Enugu State. We observed that these traffic laws are mostly violated in Enugu State, followed by Anambra State and Ebonyi State. This may be because of lower presence of FRSC and other traffic law enforcement agents in these States compared to Imo State.L. I. OkorojiHarrison Obiora AmujiC. C. NwachiK. O. OkekeJ. C. MbachuV. N. Ikeogu
Copyright (c) 2023 Research & Reviews: Journal of Statistics
2023-11-072023-11-07123132010.37591/rrjost.v12i2.3709