Relevant bibliographies by topics / Types of crimes statistical analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Types of crimes statistical analysis'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Types of crimes statistical analysis"

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Lyapin, A. E. "Cybercrime as a New Object of Statistical Analysis." Statistics and Economics 18, no. 6 (2021): 4–16. http://dx.doi.org/10.21686/2500-3925-2021-6-4-16.

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A global trend in recent years is the so-called digitalization of crime, that is, the use of information technology as a means and instrument of crime. Remote methods of committing crimes have become widespread, in which direct contact is excluded not only between the offender and the victim, but also between the accomplices of illegal activities. The real damage from cybercrimes is currently difficult to calculate, while the number of these crimes is growing rapidly from year to year. This study analyzes the state and dynamics of crimes in the field of information technology, as well as ident
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Landina, Anna. "Features of certain types of violent criminal offenses under martial law". Yearly journal of scientific articles “Pravova derzhava”, № 35 (1 вересня 2024): 618–26. https://doi.org/10.33663/0869-2491-2024-35-618-626.

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Combating violent crimes, including by means of criminal law, has always been, is and will be one of the most urgent areas of activity of criminal justice bodies and tasks of criminal policy of Ukraine as a whole. It is of particular importance to solve the urgent problems of criminal liability for the specified criminally punishable acts in the modern conditions of a full-scale war in Ukraine, when violent crimes are committed with particular cruelty, and many of them are committed by military personnel, including those of the aggressor state. The purpose of this study was a determination bas
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Ksendzuk, Valentyna, and Daria Bondarenko. "Some issues in the field of economic crime prevention in Ukraine." Economics: time realities 2, no. 48 (2020): 44–50. https://doi.org/10.5281/zenodo.3976870.

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The article analyzes the existing approaches to defining the concept of economic crime, as well as considers the most common causes of economic crimes. Based on the provisions of criminal law, economic crimes are grouped into separate groups depending on the scope of their implementation. The analysis of statistical data on economic crimes committed in the period for 2018-2019 in terms of the number of open criminal proceedings for certain types of economic activity and material damage from them. Foreign experience in prevention economic crime has been studied. This established that prevention
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Brzezińska, Joanna. "Women as Perpetrators of Crimes in Poland: An Analysis from a Statistical Perspective." Studia Iuridica Lublinensia 30, no. 1 (2021): 11. http://dx.doi.org/10.17951/sil.2021.30.1.11-34.

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<p>The article aims to determine the trends in the phenomenon of female delinquency in Poland in the years 2003–2018. To this end, on the basis of statistical data obtained from the Ministry of Justice: 1) the total number of convictions of female perpetrators during the analysed period was determined; 2) the categories of crimes which resulted in the highest level of convictions of female perpetrators were identified; 3) the types of crimes which dominated the criminal activity of women were analysed; 4) it was determined whether the level of female aggression accompanying the implement
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Tahani, Almanie, Mirza Rsha, and Lor Elizabeth. "Crime Prediction Based on Crime Types and Using Spatial and Temporal Criminal Hotspots." International Journal of Data Mining & Knowledge Management Process (IJDKP) 5, no. 4 (2019): 1–19. https://doi.org/10.5281/zenodo.3517874.

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ABSTRACT This paper focuses on finding spatial and temporal criminal hotspots. It analyses two different real-world crimes datasets for Denver, CO and Los Angeles, CA and provides a comparison between the two datasets through a statistical analysis supported by several graphs. Then, it clarifies how we conducted Apriori algorithm to produce interesting frequent patterns for criminal hotspots. In addition, the paper shows how we used Decision Tree classifier and Naïve Bayesian classifier in order to predict potential crime types. To further analyse crimes’ datasets, the paper introdu
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Al-Akaishi, Lect Dr Ameer Hussein Aliwi. "The Relationship Between Mental Disorders and Types of Crimes an Analytical Study with A Legal and Statistical Dimension." American Journal Of Social Sciences And Humanity Research 5, no. 7 (2025): 71–84. https://doi.org/10.37547/ajsshr/volume05issue07-13.

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Mental disorders hold particular significance in the study of criminal behavior, as they represent health conditions that impair thinking, perception of reality, and an individual’s ability to adapt to life circumstances. Consequently, they influence human emotions and behavior. This study is based on the hypothesis that certain types of mental disorders may be directly or indirectly associated with the commission of specific crimes, whether violent, moral, or against public order. Due to the seriousness of this connection, our research aims to analyze the relationship between mental disorders
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Gahar, Adnan Kareem, Rafal Hussein Najem, and Abdul Karim Abbas Karim. "The Influence of Weather Temperature on Crime Occurrence in Babylon Province." Dirasat: Human and Social Sciences 51, no. 6 (2024): 207–16. http://dx.doi.org/10.35516/hum.v51i6.5571.

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Objectives: This study investigates the influence of temperature fluctuation on specific types of crimes in Babylon in Iraq. It also analyzes how varying temperatures leave an impact on crime patterns and trajectories. Methods: The study uses quantitative analysis, descriptive statistics, and Geographic Information Systems (GIS) to examine temperature and crime data. Statistical techniques, including correlation and regression analysis, are applied to assess the relationships between temperature variables and crime rates. Results: The study results showed that there is a strong affinity betwee
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Ekici, Niyazi, Huseyin Akdogan, Robert Kelly, and Sebahattin Gultekin. "A meta-analysis of the impact of community policing on crime reduction." Journal of Community Safety and Well-Being 7, no. 3 (2022): 111–21. http://dx.doi.org/10.35502/jcswb.244.

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Over the last few decades, many studies have been conducted to understand whether community policing (CP) has an impact on reducing crime rates. Yet there is still substantial controversy surrounding the question of the impact of CP on crime rates. Despite the broad understanding of CP, various types of measurement of crime statistics have led research- ers to conduct meta-analyses of the phenomenon. This study combines two previous meta-analyses of CP and Turkish and English online searches. We used the Comprehensive Meta-Analysis (CMA 3.0) statistical program to calculate the effect sizes of
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POPOVA, A. V. "THE FEATURES OF CRIME IN YAROSLAVl PROVINCE IN THE SECOND HALF OF THE 19TH CENTURY (1870-1890s)." JOURNAL OF PUBLIC AND MUNICIPAL ADMINISTRATION 13, no. 1 (2024): 137–52. http://dx.doi.org/10.22394/2225-8272-2024-13-1-137-152.

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The purpose of the article is to do statistical analysis of crimes in Yaroslavl province in the 1870-1890s. The author compares the dynamics of the crime rate and pays special attention to gender, age and territorial aspects. The author also considers the types of crimes, motives for their commission, categories of criminals and measures to combat crime. The author analyzes the influence of various factors over the number and types of crimes, and examines the changes in crime rates during the period under review. A statistical data analysis as well as problem-chronological, comparative-histori
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Nikonov, P. V. "Assessment of some quantitative and qualitative indicators of crimes related to giving and receiving bribes and other types of illegal remuneration." Siberian Law Herald 4 (2024): 98–103. https://doi.org/10.26516/2071-8136.2024.4.98.

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Statistical indicators of crimes related to giving and receiving bribes and other types of illegal remuneration are analyzed. Their positive dynamics has been determined, which demonstrates a general trend towards an increase in quantitative values. At the same time, there is a tendency to decrease the total number of corruption-related crimes, the reason for which is explained by an increase in accounting and registration discipline. Trend lines have been identified, indicating a multidirectional dynamics of corruption-related crimes and crimes related to giving and receiving bribes and other
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Dissertations / Theses on the topic "Types of crimes statistical analysis"

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Нефідова, Н. Р. "Статистичний аналіз рівня правопорушень в Україні". Thesis, Одеський національний економічний університет, 2020. http://dspace.oneu.edu.ua/jspui/handle/123456789/11966.

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У роботі розглядаються теоретичні та методологічні питання щодо статистичної оцінки правопорушень та злочинності в Україні, проведено аналіз динаміки рівня правопорушень та злочинності в Україні. Проаналізована структура злочинів. Проведено аналіз регіональних особливостей розповсюдженості злочинності в Україні. Побудована кореляційно-регресійна модель рівня злочинності в Україні. Зроблено прогноз рівня злочинності на майбутні роки.<br>The article deals with theoretical and methodological issues concerning the statistical evaluation of offenses and crime in Ukraine, analysis of the dynamics of
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Воскобойнік, І. І. "Статистичний аналіз та прогнозування рівня злочинності в Україні". Thesis, Одеський національний економічний університет, 2020. http://dspace.oneu.edu.ua/jspui/handle/123456789/12542.

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У роботі розглядаються теоретичні та методологічні питання щодо статистичної оцінки правопорушень та злочинності в Україні. Проаналізовано динаміку рівня злочинності в Україні та проаналізована структура злочинів. Проведено аналіз регіональних особливостей розповсюдженості злочинності в Україні. Проведено аналіз тенденції розвитку та рівня злочинності в Україні.<br>The paper considers theoretical and methodological issues related to statistical assessment of offenses and crime in Ukraine. The dynamics of the crime rate in Ukraine is analyzed and the structure of crimes is analyzed. The analy
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Hughes, Kathryn A. Weaver Gregory. "A statistical analysis of alcohol availability and violent crimes in the state of Alabama." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Sociology/Thesis/Hughes_Kathryn_5.pdf.

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Gilbert, Peter Brian. "Sieve analysis : statistical methods for assessing differential vaccine protection against human immunodeficiency virus types /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/9551.

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Delcroix, Sophie M. "Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1114.

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"We analyze mortality data from prostate, colon, lung, and all other types (called other cancer) to obtain age specific and age adjusted mortality rates for white males in the U.S. A related problem is to estimate the relative occurrences of these four types of cancer. We use Bayesian method because it permits a degree of smoothing which is needed to analyze data at a small area level and to assess the patterns. In the recent Atlas of the United States Mortality (1996) each type of cancer was analyzed individually. The difficulty in doing so is that there are many small areas with zero deaths.
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Lucko, Gunnar. "A Statistical Analysis and Model of the Residual Value of Different Types of Heavy Construction Equipment." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11067.

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Residual value is defined as the price for which a used piece of equipment can be sold in the market at a particular time. It is an important element of the owning costs of equipment and needs to be estimated by equipment managers for making investment decisions. The purpose of this study is to gain insights into the residual value of selected groups of heavy construction equipment and to develop a mathematical model for its prediction. Auction sales data were collected from two online databases. Manufacturer publications and an online source provided size parameters and manufacturers suggeste
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D'andrea, Joy Marie. "A Statistical Analysis of Hurricanes in the Atlantic Basin and Sinkholes in Florida." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6077.

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Beaches can provide a natural barrier between the ocean and inland communities, ecosystems, and resources. These environments can move and change in response to winds, waves, and currents. When a hurricane occurs, these changes can be rather large and possibly catastrophic. The high waves and storm surge act together to erode beaches and inundate low-lying lands, putting inland communities at risk. There are thousands of buoys in the Atlantic Basin that record and update data to help predict climate conditions in the state of Florida. The data that was compiled and used into a larger data set
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Yikmaz, Riza Fikret. "Development Of Gis Based Trajectory Statistical Analysis Method To Identify Potential Sources Of Regional Air Pollution." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611969/index.pdf.

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DEVELOPMENT OF GIS BASED TRAJECTORY STATISTICAL ANALYSIS METHOD TO IDENTIFY POTENTIAL SOURCES OF REGIONAL AIR POLLUTION Yikmaz, Riza Fikret M.Sc., Department of Geodetic and Geographic Information Technologies Supervisor: Prof. Dr. G&uuml<br>rdal Tuncel Co-supervisor: Assoc. Prof. Dr. Zuhal Aky&uuml<br>rek May 2010, 186 pages Apportionment of source regions affecting a certain receptor in the regional scale is necessary information for air quality management and development of national policy for exchange of air pollutants with other countries. Source region apportionment can be studied
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Chen, I.-Chen. "Improved Methods and Selecting Classification Types for Time-Dependent Covariates in the Marginal Analysis of Longitudinal Data." UKnowledge, 2018. https://uknowledge.uky.edu/epb_etds/19.

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Generalized estimating equations (GEE) are popularly utilized for the marginal analysis of longitudinal data. In order to obtain consistent regression parameter estimates, these estimating equations must be unbiased. However, when certain types of time-dependent covariates are presented, these equations can be biased unless an independence working correlation structure is employed. Moreover, in this case regression parameter estimation can be very inefficient because not all valid moment conditions are incorporated within the corresponding estimating equations. Therefore, approaches using the
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Singh, Yuvraj. "Regression Models to Predict Coastdown Road Load for Various Vehicle Types." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595265184541326.

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Books on the topic "Types of crimes statistical analysis"

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Tesch, Renata. Qualitative research: Analysis types and software tools. Falmer Press, 1990.

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Krueger, Alan B. A statistical analysis of crime against foreigners in unified Germany. National Bureau of Economic Research, 1996.

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Krueger, Alan B. A Statistical analysis of crime against foreigners in unified Germany. Industrial Relations Section, Dept. of Economics, Princeton University, 1996.

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Fernandez-Lanier, Adriana. Comparison of domestic violence reporting and arrest rates in New York State: Analysis of the 1997 and 2000 domestic incident statistical databases. New York State Division of Criminal Justice Services, Office of Justice Systems Analysis, Domestic Violence Research Unit, 2002.

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Morris, Michael Spence Lowdell. South African political violence & sabotage, 1 July 1984-30 June 1985: Overview, incident details, statistical analysis, tables : special report. Terrorism Research Associates, 1985.

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Saldern, Carola von. Bestimmung verschiedener Eisklassen durch statistiche Analyse der Rauigkeit von Meeres: Discrimination of ice types by statistical analysis of sea-ice roughness. Alfred-Wegener-Institut für Polar- und Meeresforschung, 2007.

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Parushina, Natal'ya, Oksana Gubina, Vitaliy Gubin, et al. Theory and practice of analysis of financial statements of organizations. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1023563.

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The textbook discusses the theoretical and practical&#x0D; aspects of the analysis of financial statements of organizations in various&#x0D; fields of activity. The theory and practice of the analysis of reporting forms are based&#x0D; on the use of modern regulatory documents in the field&#x0D; of accounting and tax accounting, auditing, statistics.&#x0D; The textbook reflects the features of the analysis&#x0D; of financial, accounting, tax, statistical reporting of organizations&#x0D; based on the use of a system of analytical indicators and&#x0D; the interconnection of reporting forms.&#x0D
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Edronova, Valentina. Statistics. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1577822.

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In this textbook, the methodology of statistics is presented in the unity of quantitative assessment and meaningful analysis of the state, development, forecast and connections of socio-economic phenomena. The evolution of statistics as a science and its subject, methods of calculating absolute, relative, average indicators in the assessment of socio-economic phenomena are considered. The content and types of statistical observation and summary are described.&#x0D; The characteristic of selective observation and methods of calculating its errors are given. The methods of research of developmen
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Nazarov, Dmitriy, and Anton Kopnin. Information technologies in professional activity: data mining and business analytics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110964.

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The textbook offers a comprehensive look covering a wide range of topics related to the role of information technology in the modern world. Starting with an overview of the history of information technology and its evolution, the book introduces the reader to professions in the field of information and digital technologies, emphasizing them in various professional fields. The content of the textbook includes a detailed analysis of key concepts such as Data Science, Data Mining and Machine Learning, and their role in healthcare, law, education, science and business. The textbook provides a deta
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Nekrasov, Vasiliy. Criminal law protection of public relations in the field of innovation. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2100002.

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The monograph gives the concept of "innovative activity" and reveals its connection with related categories, characterizes public relations in the field of innovation, and also presents a range of norms aimed at criminal law protection of relations in the field of innovation. Special attention is paid to the characteristics of modern trends in criminal policy in the field of protection of innovative public relations, retrospective and comparative analysis of responsibility for socially dangerous encroachments on relations in the field of innovation. On the basis of the classification carried o
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Book chapters on the topic "Types of crimes statistical analysis"

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Everitt, Brian S., and Geoff Der. "Discriminant analysis: identifying types of Tibetan skulls." In A Handbook of Statistical Analyses using SAS. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-4547-1_11.

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Kebairi, Saddok, Bruno Taconet, Abderrazak Zahour, and Said Ramdane. "A Statistical Method for an Automatic Detection of Form Types." In Document Analysis Systems: Theory and Practice. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48172-9_8.

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Okoye, Kingsley, and Samira Hosseini. "Understanding the Different Types of Statistical Data Analysis and Methods." In R Programming. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3385-9_6.

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Naumenko, Maksym, Iryna Hrashchenko, Tetiana Tsalko, Svitlana Nevmerzhytska, Svitlana Krasniuk, and Yurii Kulynych. "Innovative technological modes of data mining and modelling for adaptive project management of food industry competitive enterprises in crisis conditions." In PROJECT MANAGEMENT: INDUSTRY SPECIFICS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-03-0.ch2.

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Developed in this research scientific and practical applied project solutions regarding Data Mining for enterprises and companies (on the example of food industry) involve the application of advanced cybernetic computing methods/algorithms, technological modes and scenarios (for integration, pre-processing, machine learning, testing and in-depth comprehensive interpretation of the results) of analysis and analytics of large structured and semi-structured data sets for training high-quality descriptive, predictive and even prescriptive models. The proposed by authors multi-mode adaptive Data Mi
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Brzezińska, Joanna. "The Types of Pathology in the Financial Markets in Selected Western European Countries: Analysis of Statistical Data." In Eurasian Studies in Business and Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67916-7_21.

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Durner, Edward F. "Simple linear regression." In Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics. CABI, 2021. http://dx.doi.org/10.1079/9781789245981.0009.

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Abstract This chapter covers the methods for obtaining and expressing these mathematical equations and their confidence bands. The methodology is linear regression analysis. Four types of regression analysis are presented, including: simple linear regression with no repeated measures or replication; simple linear regression with repeated measures; simple linear regression with replication; and polynomial regression. The effects of nitrogen rate on crop yield were presented as example.
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Genova, Vincenzo Giuseppe, Giuseppe Giordano, Giancarlo Ragozini, and Maria Prosperina Vitale. "Clustering Student Mobility Data in 3-Way Networks." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_17.

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AbstractThe present contribution aims at introducing a network data reduction method for the analysis of 3-way networks in which classes of nodes of different types are linked. The proposed approach enables simplifying a 3-way network into a weighted two-mode network by considering the statistical concept of joint dependence in a multiway contingency table. Starting from a real application on student mobility data in Italian universities, a 3-way network is defined, where provinces of residence, universities and educational programmes are considered as the three sets of nodes, and occurrences
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Wang, Jing, Jinglin Zhou, and Xiaolu Chen. "Multivariate Statistics in Single Observation Space." In Intelligent Control and Learning Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_2.

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AbstractThe observation data collected from continuous industrial processes usually have two main categories: process data and quality data, and the corresponding industrial data analysis is mainly for the two types of data based on the multivariate statistical techniques.
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Van Schaack, Beth. "Leveraging Big Data for LOAC Enforcement." In Big Data and Armed Conflict. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197668610.003.0013.

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Abstract This chapter highlights the promise and pitfalls of “Big Data” in the investigation and prosecution of war crimes and other atrocities. The chapter begins by surveying the myriad sources of Big Data and some of the tools for Big Data analytics, including object recognition and event detection, facial recognition, statistical analysis of targeting patterns, artificial intelligence language assessment, social networking analysis, and 3-D modeling. The chapter then details how these analytical tools are already being deployed for both atrocity prevention and accountability and how they m
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Sommerer, Thomas, Hans Agné, Fariborz Zelli, and Bart Bes. "The Consequences of IO Legitimacy Crises." In Global Legitimacy Crises. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192856326.003.0006.

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Abstract This chapter provides a quantitative test of the explanatory framework. The analysis of 32 international organizations (IOs) reveals both the negative and positive effects of legitimacy crises on three dimensions of an IO’s capacity to rule: material capacity, institutional capacity, and decision-making capacity. It also finds that crises, under some conditions, have no effect at all. The likelihood and direction of effects depend on the features of the targeted organizations, on the type of legitimacy crises as distinguished by different audience conceptions, and on the precise type
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Conference papers on the topic "Types of crimes statistical analysis"

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Chirosca, Ana-Maria, Liliana Rusu, Victor-Ionut Popa, and Eugen Rusu. "CLIMATE ANALYSIS ALONG THE NAVIGATION ROUTES ON THE DANUBE." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s12.07.

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The Danube has been a traditional trade route in Europe since ancient times. Transport on the Danube has many economic and environmental advantages. By using the river as a transport route, logistics costs can be reduced, and delivery times optimized. Another feature of the Danube is its connection to the North Sea and maritime transport via the Rhine-Main-Danube Canal. In addition, waterborne transport produces less carbon dioxide than road or rail transport, helping to reduce environmental impact and promote sustainable development. The study of the wind climate of the Danube is particularly
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Guerra, Juan Carlos, Leonel Guardiola, Joselyn Alvarado, and María Elena Perdomo. "Analysis of Variation in Coffee Cupping Tasting in Different Environments." In I Conferencia Internacional de Ciencia, Tecnología e Innovación. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-jyjjk6.

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The study focuses on the variability in coffee sensory evaluation results across different environments. Two groups of tasters were selected to assess their performance in three types of settings: familiar and comfortable, with ambient noise, and with distinctive aromas. Although no notable anomalies were found in the scores attributed to the coffee, a discrepancy in the results of two tasters was observed, suggesting a potential influence of the environment on their sensory perceptions. However, statistical analyses did not show significant differences based on the environment. These findings
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Hernández, Sandra E., Simona Duplat, José R. Vera, and Evaristo Barón. "A Statistical Approach for Analyzing the Inhibiting Effect of Different Types of Crude Oil in CO2 Corrosion of Carbon Steel." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02293.

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Abstract The inhibiting effect of several crude oils on CO2 corrosion was studied at different crude oil/water ratios. A statistical analysis showed an important difference between paraffinic and asphaltenic crude oils from the mechanistic point of view, with new findings on the variables that mostly influence the corrosion inhibiting mechanism.
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Scott, Colin. "A Statistical Analysis of the Gamma Exponent Model; a New Methodology for Corrosion Assessment of Localized Metal Loss Flaws and Stress Corrosion Cracking in Oil and Gas Pipelines." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16368.

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ABSTRACT The Gamma Exponent Model (“GEM”) is a recently developed methodology for failure pressure prediction of flaws in oil and gas pipelines. The model has already shown varied applicability for different flaw types. The focus of this work is axial metal loss flaws and axial stress corrosion cracking (SCC). The basic model is applicable to axial metal loss. The model is then modified to address issues associated with SCC. Specifically, this work demonstrates that a stress intensity factor relevant to periodic crack arrays, as observed in SCC colonies, can be used to account for crack-shield
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Petrushka, Kateryna, Myroslav Malovanyy, Ihor Petrushka, and Jolanta Warchoł. "Statistical Analysis of the Influence of Heavy Metals in the Soil on the Biometric Parameters of Plants as a Consequence of Military Actions." In 8th International Congress "Environment Protection. Energy Saving. Sustainable Environmental Management". Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-p86kay.

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Methods of assessing the intensity of plant growth in soils contaminated with elements of heavy metals as a result of military operations can provide important data regarding the migration, bioavailability of chemical compounds for plants, as a result of the formation of chemical compounds, which are key parameters for assessing the phytoremediation potential. The use of various methods of assessing the impact of heavy metals in the soil on plant growth can be evaluated not only based on the degree of environmental risk, but also predict the magnitude of the impact of a complex of chemical ele
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Garcia-Zanabria, Germain, and Luis Gustavo Nonato. "Visual crime pattern analysis." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23261.

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Studying and analyzing crime patterns in big cities is a challenging Spatio-temporal problem. The problem’s difficulty is linked to different factors such as data modeling, unsophisticated hotspot detection techniques, Spatio-temporal patterns, and study delimitation. Previous works have mostly focused on the analysis of crimes with the intent of uncovering patterns associated to social factors, seasonality, and urban activities in whole districts, regions, and neighborhoods. Those tools can hardly allow micro-scale crime analysis closely related to crime opportunity, whose understanding is fu
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Fotios, S., C. J. Robbins, and S. Farrall. "INVESTIGATING LIGHT AND CRIME USING AMBIENT LIGHT LEVEL." In CIE 2021 Conference. International Commission on Illumination, CIE, 2021. http://dx.doi.org/10.25039/x48.2021.op31.

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A recent study investigated the influence of lighting on crime by considering the effect of change in ambient light level on crimes recorded in three US cities for the ten-year period 2010 to 2019. The results suggested a significant increase in robbery after dark, but did not suggest significant change in for any other type of crime. The current study was conducted to validate this by considering crimes recorded in three different US cities. This analysis confirmed the statistically significant increase in robbery after dark. These data do not suggest that change in ambient light level has a
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Dubovec, Dominik, and Marek Kvet. "Crimes in Slovak Republic - Statistical Analysis of Trends." In 2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2023. http://dx.doi.org/10.1109/iceta61311.2023.10344179.

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Nikonov, Pavel Vladimirovich. "Analysis of Sanctions of Corruption Crimes Related to Bribery and Other Types of Illegal Remuneration." In VII INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE “CRIMINAL LAW AND OPERATIVE SEARCH ACTIVITIES: PROBLEMS OF LEGISLATION, SCIENCE AND PRACTICE”. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010629800003152.

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Coria, Pablo, Victor Devincenti, and Maivy Orozco. "Well Monitoring New Concept Based on Artificial Lift Power Indicators, Identifying Failures and Minimizing Energy Consumption Costs Due to System Inefficiency." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213680-ms.

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Abstract The search for energy efficiency and the reduction of operating costs in medium and high flow artificial lift systems is becoming increasingly relevant due to the incipient energy crises. Therefore, the need of developing methodologies and algorithms that allow a rapid, early and effective power consumption deviation identification in huge electro submersible system fields has become a priority need. Using statistical tools and innovative calculation methods can generate energy deviations zones of analysis that are divided by ESP pumps models and types of producing wells; according to
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Reports on the topic "Types of crimes statistical analysis"

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Tompson, Lisa, Apriel Jolliffe Simpson, Richard Wortley, Bridget O'Keeffe, and Devon Polaschek. Understanding re-victimisation through an intersectional lens. The University of Waikato, 2024. https://doi.org/10.15663/tph91171.

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Policy efforts based on evidence about risk for re-victimisation both protect some of the most vulnerable people in society and have a good chance of reducing crime levels overall (Farrell and Pease, 1993; Grove et al., 2012; Pease et al., 2018). While research has established that the phenomenon of re-victimisation is ubiquitous, less is known about what makes some people more vulnerable to re-victimisation than others (Hamilton and Browne, 1998; Nazaretian and Fitch, 2021). Enhanced understanding of who these people are is thus crucial for developing contemporary victim-centred crime prevent
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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/a52fcasdqm1du469.

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This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the
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Pălici, Bogdan, Alin Savu, Maria Trifon, et al. Mapping - Interactive Tool for Exploring Statistical Data about Cultural Infrastructure in Romania. National Institute for Cultural Research and Training, 2021. http://dx.doi.org/10.61789/mod.cdi.crtg.en.21.

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The Cartographic Module is an instrument for data selection, structuring, visualisation and analysis. It provides for multiple selection functionalities both at geographical area level (county, locality) and at data level (category of indicators and indicators). Three types of dynamic graphs are available on the indicator pages: comparison/evolution, ranking and frequency.
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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/lolq2hyg9sn6d469.

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This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the
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Raykov, Tenko. Latent Class Analysis and Mixture Modeling. Instats Inc., 2023. http://dx.doi.org/10.61700/tkd5fah8evykd469.

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Latent class analysis (LCA) and mixture models (MM) are an applied statistical method for examining heterogeneity in studied populations. The method can be used to evaluate whether a studied population consists of an initially unknown number of several subpopulations (latent classes, types, clusters) that differ in important ways. This workshop introduces participants to the general field of classification (clustering), using LCA as a model-based version of cluster analysis and moving on to more general mixture modeling with latent variables. Hands-on examples with best practices for analysis
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Dinger, Eric, and Eric Dinger. Analysis of stream types in Klamath Network parks based on physical habitat and chemical characters. National Park Service, 2024. http://dx.doi.org/10.36967/2306085.

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This is the first ?Analysis and Synthesis? report required by the Klamath Inventory and Monitoring Network?s stream monitoring protocol. This report synthesizes the physical and chemical attributes of streams surveyed by the Klamath Network between 2011 and 2018 in the following parks: Crater Lake National Park, Lassen Volcanic National Park, Whiskeytown National Recreation Area, Redwood National and State Parks, and Oregon Caves National Monument and Preserve). Where possible, it categorizes individual streams into groups using multivariate exploratory analyses and assigns statistical signifi
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Kolencik, Marian. A critical evaluation of the risk indicators of criminal conduct involving CBRN and explosive materials - Behavioural and observational analysis in crime detection and investigation. ISEM Institute, n.p.o., 2023. http://dx.doi.org/10.52824/vzrb5079.

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Terrorist attacks using explosives and CBRN (Chemical, Biological, Radiological and Nuclear) materials have been present throughout history. While the frequency of CBRN terrorist attacks is relatively low compared to those with explosives and other types of weapons, it is crucial to treat the efforts of both terrorist organizations and individuals with appropriate gravity in order to avert catastrophic consequences. Identifying warning signs that indicate criminal behaviour is crucial for preventing planned crimes or terrorist attacks, and there is a need for more precise coverage of potential
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Berlina, Anna, and Eva Maersk. Peripheral higher educationin the Nordics: Why? How? For whom? Nordregio, 2024. http://dx.doi.org/10.6027/pb2024:3.2001-3876.

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This policy brief explores the current status, key characteristics, and distribution of peripheral higher education institutions located in smaller towns and rural regions across the Nordic countries. It aims to increase knowledge about the types of students who are attracted to these institutions and the factors influencing their choices. The analysis in this policy brief draws on statistical data, a literature review, results from focus group discussions, and a survey conducted among young adults in the Nordic countries.
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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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Kim, Joseph J., and Jose Alejandro Arroyo Turcios. Economic Evaluation of Route Choice Characteristics for Company Truck Drivers and Owner-Operator Truck Drivers in Southern California Freeways. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2242.

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To contribute to the understanding of freeway capacity and financing options, this study evaluates the demand for truck-only toll lanes on Southern California freeways. The study implemented surveys to both company truck drivers and owner-operator truck drivers to estimate the value they place on time, reliability, and safety measures. The research team met face-to-face with both types of truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 45 surveys out of 62 s
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