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Australia's economic history is the story of the transformation of an indigenous economy and a small convict settlement into a nation of nearly 23 million people with advanced economic, social and political structures. It is a history of vast lands with rich, exploitable resources, of adversity in war, and of prosperity and nation building. It is also a history of human behaviour and the institutions created to harness and govern human endeavour. This account provides a systematic and comprehensive treatment of the nation's economic foundations, growth, resilience and future, in an engaging, contemporary narrative. It examines key themes such as the centrality of land and its usage, the role of migrant human capital, the tension between development and the environment, and Australia's interaction with the international economy. Written by a team of eminent economic historians, The Cambridge Economic History of Australia is the definitive study of Australia's economic past and present.
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, Neumann, Bernoulli, Bayes, Laplace, Legendre, Gauss, Poisson, Pareto, Markov, Bachelier, Borel, and many more.
This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers. Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjects or observation periods, including single-case designs. These Randomization tests require large numbers of data rearrangements and have been seldom used, partly because desktop computers have only recently become powerful enough to complete the analyses in a reasonable time. Now that the necessary computational power is available, they continue to be under-used because they receive scant attention in standard statistical texts for behavioral researchers and because available programs for running the analyses are relatively inaccessible to researchers with limited statistical or computing interest. This book is first and foremost a practical guide, although it also presents the theoretical basis for Randomization tests. Its most important aim is to make these tests accessible to researchers for a wide range of designs. It does this by providing programs on CD-ROM that allow users to run analyses of their data within a standard package (Minitab, Excel, or SPSS) with which they are already familiar. No statistical or computing expertise is required to use these programs. This is the "new stats" for single-case and small-n intervention studies, and anyone interested in this research approach will benefit.
The Bureau, precursor to Statistics Canada, was founded in 1918 as a centralized national agency to replace piecemeal arrangements which had developed over time and no longer satisfied statistical needs. The author (who is a retired assistant chief statistician of Canada) traces its evolution and looks at the individuals who influenced it. He discusses how Canada's statistical system has coped with the country's evolution from a staple economy to a mature industrial power; the changing nature of the technology for gathering, compiling, analyzing, and disseminating information; and some notable Canadian contributions to the science and production of statistics. Annotation copyrighted by Book News, Inc., Portland, OR
This handbook engages key debates in Australian and New Zealand criminology over the last 50 years. In six sections, containing 56 original chapters, leading researchers and practitioners investigate topics such as the history of criminology; crime and justice data; law reform; gangs; youth crime; violent, white collar and rural crime; cybercrime; terrorism; sentencing; Indigenous courts; child witnesses and children of prisoners; police complaints processes; gun laws; alcohol policies; and criminal profiling. Key sections highlight criminological theory and, crucially, Indigenous issues and perspectives on criminal justice. Contributors examine the implications of past and current trends in official data collection, crime policy, and academic investigation to build up an understanding of under-researched and emerging problem areas for future research. An authoritative and comprehensive text, this handbook constitutes a long-awaited and necessary resource for dedicated academics, public policy analysts, and university students.
Contemporary public life in Britain would be unthinkable without the use of statistics and statistical reasoning. Numbers dominate political discussion, facilitating debate while also attracting criticism on the grounds of their veracity and utility. However, the historical role and place of statistics within Britain’s public sphere has yet to receive the attention it deserves. There exist numerous histories of both modern statistical reasoning and the modern public sphere; but to date, there are no works which, quite pointedly, aim to analyse the historical entanglement of the two. Statistics and the Public Sphere: Numbers and the People in Modern Britain, c.1800-2000 directly addresses this neglected area of historiography, and in so doing places the present in some much needed historical perspective.