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Books on the topic 'Types of crimes statistical analysis'

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Published: 30 May 2022

Last updated: 31 July 2025

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1

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

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2

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

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3

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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4

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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5

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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6

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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7

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 aspects of the analysis of financial statements of organizations in various fields of activity. The theory and practice of the analysis of reporting forms are based on the use of modern regulatory documents in the field of accounting and tax accounting, auditing, statistics. The textbook reflects the features of the analysis of financial, accounting, tax, statistical reporting of organizations based on the use of a system of analytical indicators and the interconnection of reporting forms.&#x0D

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8

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. The characteristic of selective observation and methods of calculating its errors are given. The methods of research of developmen

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9

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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10

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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11

Zuev, Sergey, Ruslan Maleev, and Viktor Venevcev. Reliability of electrical and electronic equipment of modern vehicles. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2130171.

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The textbook contains information on the reliability of electrical and electronic equipment of vehicles, provides basic terms and definitions, provides information on the reliability of non-removable products, and on the operating conditions of transport electronics products. Information on statistical process management is provided. The types, purpose, and organization of testing, methods for evaluating reliability indicators, and ways to improve reliability (redundancy) are described. The analysis of technological processes by the method of histograms is given. The concept of "reliability" i

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12

Gadzhiev, Nazirhan, Sergey Konovalenko, Mihail Trofimov, and Ruslan Kornilovich. Ensuring economic security in the credit and financial sphere. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1989302.

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The financial and credit system is of great importance for the effective implementation of monetary policy, the pace of economic growth depends on the stable functioning of credit institutions, expanding the capabilities of enterprises to attract financial resources, and therefore ensuring the economic security of banking, insurance and financial activities is a primary task. At the same time, the financial and credit system is subject to numerous threats, the main of which are crimes of an economic orientation, in this regard, the importance of their statistical analysis increases, as well as

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13

LaBute, Gerry. Gerry's Handbook of Statistical Analysis for Non-math Types. Lulu Press, Inc., 2005.

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14

Kuk, Kristijan, and Dragan Randjelovic. Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling. Nova Science Publishers, Incorporated, 2017.

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15

Tesch, Renata. Qualitative Research: Analysis Types and Tools. Taylor & Francis Group, 2013.

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16

Tesch, Renata. Qualitative Research: Analysis Types and Tools. Taylor & Francis Group, 2013.

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17

Qualitative Research: Analysis Types and Software. Taylor & Francis Group, 2016.

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18

Tesch, Renata. Qualitative Research: Analysis Types and Tools. Taylor & Francis Group, 2013.

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19

Tesch, Renata. Qualitative Research: Analysis Types and Software. Taylor & Francis Group, 2013.

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20

Tesch, Renata. Qualitative Research: Analysis Types and Software. Taylor & Francis Group, 2013.

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21

Tesch, Renata. Qualitative Research: Analysis Types and Software. Taylor & Francis Group, 2013.

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22

Tesch, Renata. Qualitative Research: Analysis Types and Software. Taylor & Francis Group, 2013.

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23

Tesch, Renata. Qualitative Research: Analysis Types and Tools. Taylor & Francis Group, 2013.

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24

Qualitative Research: Analysis Types and Software Tools. Routledge, 2013.

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25

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

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26

Qualitative Research: Analysis Types and Software Tools. Routledge, 2013.

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27

McGovern, Glenn P. Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings. Taylor & Francis Group, 2017.

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28

McGovern, Glenn P. Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings. Taylor & Francis Group, 2010.

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29

McGovern, Glenn P. Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings. Taylor & Francis Group, 2010.

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30

McGovern, Glenn P. Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings. Taylor & Francis Group, 2010.

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31

McGovern, Glenn P. Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings. Taylor & Francis Group, 2010.

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32

Gu, Xun. Statistical Analysis of Molecular and Genomic Evolution. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198816515.001.0001.

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Abstract This book introduces up-to-date methods in statistics and bioinformatics for the study of molecular and genome evolution. It first provides a concise overview of molecular evolutionary analysis and phylogenetic inference. The following chapters cover four research themes: evolution of protein functionality and functional divergence (Chapters 3 and 4); effective gene pleiotropy estimation under the genotype-phenotype mapping model of protein evolution (Chapter 5); evolution of genetic robustness after gene duplication (Chapter 6), and the statistical models of transcriptome evolution (

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33

Hoos, Sidney Samuel. Statistical Analysis of the Annual Farm Prices of Seasonal Types of Commercial Head Lettuce, 1918-1947; No. 92. Creative Media Partners, LLC, 2021.

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34

Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.

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Habitat is crucial to the survival and reproduction of individual organisms as well as persistence of populations. As such, species-habitat relationships have long been studied, particularly in the field of wildlife ecology and to a lesser extent in the more encompassing discipline of ecology. The habitat requirements of a species largely determine its spatial distribution and abundance in nature. One way to recognize and appreciate the over-riding importance of habitat is to consider that a young organism must find and settle into the appropriate type of habitat as one of the first challenges

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35

McAskill, D. Bruce. A statistical analysis of the effect that different timetable types (linear, semester, & quarter) have on student achievement on British Columbia provincial exams. 1994.

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36

Haig, Brian D. Exploratory Factor Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0006.

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Chapter 6 argues that exploratory factor analysis is an abductive method of theory generation that exploits a principle of scientific inference known as the principle of the common cause. Factor analysis is an important family of multivariate statistical methods that is widely used in the behavioral and social sciences. The best known model of factor analysis is common factor analysis, which has two types: exploratory factor analysis and confirmatory factor analysis. A number of methodological issues that arise in critical discussions of exploratory factor analysis are considered. It is sugges

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37

Prout, Jeremy, Tanya Jones, and Daniel Martin. Statistical basis of clinical trials. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609956.003.0009.

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This chapter summarizes some aspects of study design and statistical analysis to allow the anaesthetist to appraise research. Types of observational study are described and aspects of interventional studies such as sample size calculation and power are explained. Research governance, phases of drug trials and levels of evidence are described. A section on statistical analysis includes expression of proportion for binary data (odds ratio, number needed to treat) and use of probability and confidence intervals to measure statistical significance.

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38

Ruefli, Timothy, ed. Ordinal Time Series Analysis. Praeger, 1990. http://dx.doi.org/10.5040/9798400693762.

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Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. Particularly useful for managers who seek a reliable and accessible means of analyzing the strategic performance of firms, products, industries, or political entities, the ordinal time series approach uses simple data, longitudinal analysis, and rank positions to produce results that more accurately reflect the dynamics of competitive position and corporate p

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39

Halperin, Sandra, and Oliver Heath. 17. A Guide to Multivariate Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0017.

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This chapter extends the principles of bivariate analysis to multivariate analysis, which takes into account more than one independent variable and the dependent variable. With multivariate analysis, it is possible to investigate the impact of multiple factors on a dependent variable of interest, and to compare the explanatory power of rival hypotheses. Multivariate analysis can also be used to develop and test multi-causal explanations of political phenomena. After providing an overview of the principles of multivariate analysis, and the different types of analytical question to which they ca

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40

Atkins, David C., and Brian R. Baucom. Emerging Methodological and Statistical Techniques in Couple Research. Edited by Erika Lawrence and Kieran T. Sullivan. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199783267.013.16.

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Rapid changes in technology are altering some of the basic ways in which we interact with our world, as seen in the evolution of the telephone to mobile phone to smart phone. These technological changes are ushering in new methods of data collection and analysis, which also open up new types of research questions and designs for couple researchers. This chapter reviews current and emerging methods for data acquisition and analysis in relationship science. Data acquisition methods include mobile technology and context-specific ecological momentary assessment, as well as behavioral signal-proces

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41

Tran, Thanh V., and Keith T. Chan. Applied Cross-Cultural Data Analysis for Social Work. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190888510.001.0001.

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Applied Cross-Cultural Data Analysis for Social Work is a research guide which provides a hands-on approach for learning and understanding data analysis techniques for examining and interpreting data for the purpose of cultural group comparisons. This book aims to provide practical applications in statistical approaches of data analyses that are commonly used in cross-cultural research and evaluation. Readers are presented with step-by-step illustrations in the use of descriptive, bivariate, and multivariate statistics to compare cross-cultural populations using large-scale, population-based s

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42

Gries, Stefan Th. Data in Construction Grammar. Edited by Thomas Hoffmann and Graeme Trousdale. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780195396683.013.0006.

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This chapter examines the types of data used in constructionist approaches and the parameters along which data types can be classified. It discusses different kinds of quantitative observational/corpus data (frequencies, probabilities, association measures) and their statistical analysis. In addition, it provides a survey of a variety of different experimental data (novel word/construction learning, priming, sorting, etc.). Finally, the chapter discusses computational-linguistic/machine-learning methods as well as new directions for the development of new data and methods in Construction Gramm

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43

Tompson, Lisa, and Timothy Coupe. Time and Opportunity. Edited by Gerben J. N. Bruinsma and Shane D. Johnson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190279707.013.19.

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This chapter provides insights into often-observed temporal regularities of different types of crime. It begins by briefly appraising relevant theories that explain variations in time incidence. It then discusses methodological issues that are unique to temporal analysis. The bulk of the next section presents temporal patterns from four years of crime data recorded by West Yorkshire Police, UK. Several units of analysis are considered: years, months, weeks, and days, and a medley of theories are used to suggest putative explanations for the observed patterns. It focuses first on crimes committ

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44

Lowe, John J. Vedic Prose. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793571.003.0003.

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This chapter provides a detailed account of the transitive noun and adjective categories attested in Vedic Prose. Although the Vedic Prose corpus is larger than that of the Rigveda, there are considerably fewer transitive noun/adjective categories, and relatively few transitive forms. The most commonly transitive adjective category may show some degree of integration into the verbal system as a modal formation. Statistical analysis shows that the patterns found in Rigvedic Sanskrit largely carry over into Vedic Prose. Again, there is a clear correlation between transitivity and predication. As

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45

Pencavel, John H. Introduction: Why Working Hours? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876166.003.0001.

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The length of work matters to both workers and employers. What happens to output when hours are extended? What happens to a worker’s well-being when hours are extended? What fraction of workers work long hours today and who are these workers? As the book’s introduction, the author explains his approach to these questions, the types of evidence he presents in later chapters, and his arguments for why some common approaches to this subject neglect confounding issues. A principal goal of the research presented in this monograph is to document the consequences of long working hours. Statistical an

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46

Bojar, Abel, Theresa Gessler, Swen Hutter, and Hanspeter Kriesi, eds. Contentious Episodes in the Age of Austerity. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009004367.

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Based on extensive data and analysis of sixty contentious episodes in twelve European countries, this book proposes a novel approach that takes a middle ground between narrative approaches and conventional protest event analysis. Looking particularly at responses to austerity policies in the aftermath of the Great Recession (2008–2015), the authors develop a rigorous conceptual framework that focuses on the interactions between three types of participants in contentious politics: governments, challengers, and third parties. This approach allows political scientists to map not only the variety

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47

Miksza, Peter, and Kenneth Elpus. Analyses of Data from Complex Survey Sampling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0011.

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This chapter introduces the specialized techniques necessary for analyzing data that have been gathered in a complex or multistage survey sample. The chapter details the methods most commonly used to collect complex survey data and then explains the specific statistical tools that must be employed to correctly analyze complex survey data. First, an overview of the various types of sampling methods is presented, beginning with simple random sampling and moving through other methods to finally discuss the commonly employed research techniques of cluster sampling. The chapter continues with a dis

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48

Jenset, Gard B., and Barbara McGillivray. A new methodology for quantitative historical linguistics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198718178.003.0007.

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Chapter 7 summarizes the book and discusses how the proposed framework provides researchers with the methodological guidance to answer new questions, as well as answering existing questions in new ways. A section summarizes the core steps of the quantitative research process based on the principles and best practices of Chapter 2. The importance of open data and open research processes for transparent research is highlighted. An extended case study on morphological change in early modern English is used to exemplify a research process that includes exploratory data analysis and different types

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49

Ferreira, Eliel Alves, and João Vicente Zamperion. Excel: Uma ferramenta estatística. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-400-5.

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This study aims to present the concepts and methods of statistical analysis using the Excel software, in a simple way aiming at a greater ease of understanding of students, both undergraduate and graduate, from different areas of knowledge. In Excel, mainly Data Analysis Tools will be used. For a better understanding, there are, in this book, many practical examples applying these tools and their interpretations, which are of paramount importance. In the first chapter, it deals with introductory concepts, such as introduction to Excel, the importance of statistics, concepts and definitions. Be

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50

Lowe, John J. Rigvedic Sanskrit. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793571.003.0002.

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This chapter provides a detailed account of the transitive noun and adjective categories attested in the earliest Indo-Aryan, Rigvedic Sanskrit. This period shows the greatest variety of noun and adjective categories which attest transitivity. Statistical analysis is provided to show that transitive nouns and adjectives are syntactically distinct from other types of noun and adjective that take dependents, and distinct from non-finite verb categories such as participles. In particular, there is a statistically significant correlation between transitivity and predication: transitive nouns and a

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