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• Consideraciones preliminares
• Contextualización de la división político administrativa en Bolivia
• Documentos que constituyen fuentes de datos poblaciones en Bolivia
• Estrategias para el poblamiento en Bolivia : siglo XIX y XX
• Instituto Nacional de Estadística de Bolivia
• Censos poblaciones en Bolivia
• Datos censales a nivel nacional en Bolivia.

• [1] Synthèse des résultats définitifs
• [2] Chiffres clés des résultats définitifs
• [3] Données clés 2019

• Section 1. Probabilistic modeling in statistics. Chapter 1. Determination of poverty indicators using roc curves in Turkey ; Chapter 2. Data analyzing via probabilistic modeling: interpolation and extrapolation ; Chapter 3. Decision making and data analysis: curve modeling via probabilistic method
• Section 2. Dual approach of data analytics and machine learning modelling in real case scenarios. Chapter 4. Patient arrival to public opds: analysis and use of statistical distribution for improving performance indicators in rural hospitals ; Chapter 5. An econometric overview on growth and impact of online crime and analytics view to combat them ; Chapter 6. A decadal walk on BCI technology: a walkthrough ; Chapter 7. A fusion-based approach to generate and classify synthetic cancer cell image using DCGAN and CNN architecture ; Chapter 8. The rise of "big data" in the field of cloud analytics
• Section 3. Case studies from business and industry. Chapter 9. Analyzing EPQ inventory model with comparison of exponentially increasing demand and Verhult's demand ; Chapter 10. Statistics of an appealing class of random processes ; Chapter 11. The Universality of the Kalman filter: a conditional characteristic function perspective ; Chapter 12. Project control: a Bayesian model

"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"-- Provided by publisher

"Doing Statistical Analysis looks at three kinds of statistical research questions - descriptive, associational and inferential - and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, covid-19 and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS and Excel, practical videos explaining how to do basic analysis, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioural sciences needing to build their confidence with statistical analysis"-- Provided by publisher

• Population and vital statistics
• Labour force
• Agriculture
• Industry
• External trade
• Transport and communications
• Finance
• Prices
• Education
• National accounts

• Chapter 1. Worlds of Rankings / Leopold Ringel, Wendy Espeland, Michael Sauder and Tobias Werron
• The producers of rankings
• Chapter 2. Beyond winners and losers: ranking visualizations was alignment devices in global public policy / Justyna Bandiola-Gill, Matteo Grek and Sotiria Ronzani
• Open access
• Chapter 3. Stepping into the spotlight: how rankings become public performances / Leopold Ringel
• Chapter 4. Between stakeholders and third parties: Regulatory rankings and the organization of competition / Afshin Mehrpouya and Rita Samiolo The negotiation, interpretation and institutionalization of rankings
• Chapter 5. Measure of shame": media career of the global slavery index / Jelena Brankovic
• Chapter 6. Redefining achievement: the emergence of rankings in American baseball, 1850s to 1870s / Clelia Minnetian and Tobias Werron
• Chapter 7. Caring for numbers. creating account-ability through healthcare performance metrics in Sweden and the Netherland / Iris Wallenburg, Roland Bal and Anna Essén
• The effects of rankings
• Chapter 8. The garbage can model and organizational metrics / Michael Sauder, Hyunsik Chun and Wendy Espeland
• Chapter 9. Formality vs. flexibility: the effects of evaluation practices on judging and performance / Stacy Lom
• Chapter 10. Ranking strategy: how organisations respond to the new competitive battlefields / Neil Pollock, Luciana D'Adderio and Martin Kornberger.

This volume contains an Open Access Chapter. This volume explores the distinct allure of rankings in diverse empirical settings such as healthcare, the IT sector, the arts, professional sports, anti-slavery advocacy, the pharma industry, and educational governance.

• Contents: Introduction: Spatial analysis and the social sciences in a rapidly changing landscape / Sergio J. Rey and Rachel S. Franklin
• Part 1. Theory, frameworks and foundations
• 1. Giscience through the looking glass / Barbara P. Buttenfield
• Locating spatial data in the social sciences / Jonathan Reades
• Analytical environments / Roger Bivand
• Complexity / Li An
• Linking spatial patterns to processes / Colin Robertson and Jed Long
• Part 2. Methods. Spatial econometrics / Luc Anselin
• Local modeling in a regression framework / Mehak Sachdeva, Taylor Oshan and A. Stewart Fotheringham
• Simulating geographical systems using cellular automata and agent-based models / Alison Heppenstall, Andrew Crooks, Ed Manley and Nick Malleson
• Microsimulation / Nik Lomax
• Multilevel models / Richard Harris
• Context-dependent movement analysis / Somayeh Dodge
• Spatial interaction modeling / Taylor Oshan
• Spatial optimization / Alan T. Murray
• Cluster identification / Edward Helderop and Tony H. Grubesic
• Spatial point patterns / Stuart Sweeney and Sophia Arabadjis
• Spatial dynamics / Wei Kang
• Geoai in social science / Wenwen Li
• Exploratory spatial data analysis / Ran Wei
• Geovisualization and geovisual analysis / Alasdair Rae
• Immersive virtual reality and spatial analysis / Trevor M. Harris
• Spatiotemporal data mining / Arun Sharma, Zhe Jiang and Shashi Shekhar
• Part 3. Applications. Neighborhood change / Elizabeth Delmelle
• The spatial analysis of gentrification: Formalizing geography in models of a multidimensional urban process / Elijah Knaap
• Social networks in space / Clio Andris and Dipto Sarkar
• Analysing the dynamics of inter-regional inequality: The case of Canada / Sébastien Breau
• Spatial approaches to energy poverty / Caitlin Robinson
• The shape of bias: Understanding the relationship between compactness and bias in U.S. Elections / Levi John Wolf
• Space and new urbanism / Emily Talen
• Space for wellbeing / Victoria Houlden
• Urban analytics: History, trajectory and critique / Geoff Boeing, Michael Batty, Shan Jiang and Lisa Schweitzer
• Part 4. Emerging challenges and issues. Reproducibility and replicability in spatial science / Michael F. Goodchild
• An image library: The potential of imagery in (quantitative) social sciences / Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber
• Uncertainty / David C. Folch
• Index

"Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences. The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability. This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge"-- Provided by publisher