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Nicholas T. Longford

    Missing Data and Small-Area Estimation
    Statistical Studies of Income, Poverty and Inequality in Europe
    Statistics for Making Decisions
    • Statistics for Making Decisions

      • 291 Seiten
      • 11 Lesestunden

      Focusing on the critical role of decision-making in both personal and professional contexts, this book positions statistical inference as essential to the decision-making process. It introduces a new paradigm for statistical practice, emphasizing how statistics can guide individuals in selecting the best course of action from various options. By integrating decision-making with statistical theory, it offers insights into improving choices in various aspects of life.

      Statistics for Making Decisions
    • Statistical Studies of Income, Poverty and Inequality in Europe

      Computing and Graphics in R using EU-SILC

      • 376 Seiten
      • 14 Lesestunden

      The book explores the application of statistical computing in survey analysis, specifically using R to analyze European Union statistics on income and living conditions. It emphasizes the creation of informative graphics and the development of advanced analytical and programming skills necessary for managing large-scale databases. Additionally, it highlights practical approaches to enhance data interpretation and presentation.

      Statistical Studies of Income, Poverty and Inequality in Europe
    • Missing Data and Small-Area Estimation

      Modern Analytical Equipment for the Survey Statistician

      • 360 Seiten
      • 13 Lesestunden

      The book focuses on the intersection of missing data and small-area estimation, stemming from the author's experiences as a C-pion Fellow. It emphasizes the importance of integrating academic and industrial statistics to enhance government statistics. The author reflects on the collaborative efforts during lectures and workshops, acknowledging the contributions of colleagues and the supportive environment at Massey University. This work highlights the need for closer ties between academia and industry to drive progress in statistical research and applications.

      Missing Data and Small-Area Estimation