"The study investigates poverty comparisons across the various strata and urban/ rural areas in Cameroon. A composite poverty indicator is constructed using multiple correspondence analysis by taking into account 33 non-monetary indicators that have been identified as describing a real poverty situation"--From the abstract.

Originally presented as the author's thesis (doctoral)--Universiteat Geottingen, 2009.

Cameroon is a land of much promise, but a land of unfulfilled promises. It has the potential to be an economically developed and democratic society but the struggle to live up to its potential has not gone well. Since independence there have been only two presidents of Cameroon; the current one has been in office since 1982. Endowed with a variety of climates and agricultural environments, numerous minerals and substantial forests, and a dynamic population, this is a country that should be a leader of Africa. Instead, we find a country almost paralyzed by corruption and poor management, a country with a low life expectancy and serious health problems, and a country from which the most talented and highly educated members of the population are emigrating in large numbers. To all of this is recently added a serious terrorism problem, Boko Haram, in the north, a separatist movement in the Anglophone west, refugee influxes in the north and east, and bandits from the Central African Republic attacking eastern villages. This fifth edition of Historical Dictionary of the Republic of Cameroon contains a chronology, an introduction, and an extensive bibliography. The dictionary section has over 300 cross-referenced entries on important personalities, politics, economy, foreign relations, religion, and culture. This book is an excellent resource for students, researchers, and anyone wanting to know more about the Republic of Cameroon.

This book explores rurality and education in sub-Saharan Africa through a lens of social justice. The first in a two-volume project, this book explores the possibilities and constraints of rural social justice in diverse educational contexts: how should rurality be defined? How does education shape and reshape what it means to be rural? Drawing chapters from a diverse range of contributors in sub-Saharan Africa, the two volumes are underpinned by a robust social justice approach to rural schooling and its intersections with access, gender, colonialism, social mobility and dis/ability. Ultimately, these volumes reflect the need to shift conceptions of rurality from colonial and conservative stereotypes to an appreciation of rurality as locations in space and time, with their own unique attributes and opportunities. Harnessing indigenous African concepts of justice to open up conversations into teaching and knowledge production in higher education, this book will be of interest to scholars of rurality and education, as well as wider discussions on decolonising the academy.

Families, communities and societies influence children's learning and development in many ways. This is the first handbook devoted to the understanding of the nature of environments in child development. Utilizing Urie Bronfenbrenner's idea of embedded environments, this volume looks at environments from the immediate environment of the family (including fathers, siblings, grandparents and day-care personnel) to the larger environment including schools, neighborhoods, geographic regions, countries and cultures. Understanding these embedded environments and the ways in which they interact is necessary to understand development.

Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.