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Introduction to Mathematical Statistics
, 19591. Probability and Distributions. 2. Multivariate Distributions. 3. Some Special Distributions. 4. Some Elementary Statistical Inferences 5. Consistency and Limiting Distributions 6. Maximum Likelihood Methods. 7. Sufficiency. 8.
R. Hogg, A. T. Craig
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2011
This chapter consists of two main parts, an introduction to adjustment techniques (Sects. 2.1, 2.2) and an overview of geostatistical methods (Sect. 2.3). The contents has many relations to other chapters of the handbook. In particular, the adjustment technology is a foundation of many data capture methods and geostatistical methods are applied in ...
Frank Gielsdorf, Tobias Hillmann
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This chapter consists of two main parts, an introduction to adjustment techniques (Sects. 2.1, 2.2) and an overview of geostatistical methods (Sect. 2.3). The contents has many relations to other chapters of the handbook. In particular, the adjustment technology is a foundation of many data capture methods and geostatistical methods are applied in ...
Frank Gielsdorf, Tobias Hillmann
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2019
Math accessibility work dates back to the 1990s, but these efforts have accelerated rapidly in the last 5 years. It has moved from research into widely used systems that include JAWS, NVDA, VoiceOver, and TextHELP. The current systems convert MathML into speech and braille, and allow the users to navigate expressions for better comprehension.
Neil Soiffer, Steve Noble
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Math accessibility work dates back to the 1990s, but these efforts have accelerated rapidly in the last 5 years. It has moved from research into widely used systems that include JAWS, NVDA, VoiceOver, and TextHELP. The current systems convert MathML into speech and braille, and allow the users to navigate expressions for better comprehension.
Neil Soiffer, Steve Noble
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Radiology, 1952
For most of us, mathematics is a pain in the neck, and we avoid it whenever we can. We hire an expert to figure our tax. We trust the clerk to make the right change. We buy meat weighed on a computing scale and gasoline from a computing pump. We learned algebra in school, but we've forgotten it!
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For most of us, mathematics is a pain in the neck, and we avoid it whenever we can. We hire an expert to figure our tax. We trust the clerk to make the right change. We buy meat weighed on a computing scale and gasoline from a computing pump. We learned algebra in school, but we've forgotten it!
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2020
This chapter looks at how the application of error theory and of probability models to social statistics was pursued with growing success in Germany during the last third of the nineteenth century. The most successful and influential of those mathematical writers on statistics was the economist and statistician Wilhelm Lexis.
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This chapter looks at how the application of error theory and of probability models to social statistics was pursued with growing success in Germany during the last third of the nineteenth century. The most successful and influential of those mathematical writers on statistics was the economist and statistician Wilhelm Lexis.
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Mathematics for Mathematics Teachers —On Statistics—
2004I highly recommend that materials directly related to school mathematics should be included in the pre-service and in- service curriculum for secondary school teachers.
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Modern Mathematical Statistics with Applications
Springer Texts in Statistics, 2021J. Devore, K. Berk
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Statistics and Mathematics: The Appropriate Use of Mathematics within Statistics
Journal of the Royal Statistical Society: Series D (The Statistician), 1998Mathematics uses precise language and precise statements. Those statemen ts are justified by logically argued proofs. Mathematics unifies examples and generalizes them to a broad-er theory. I argue that statistics can and should use these approaches to become more relevant to the problems that it tackles, not less.
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