Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with mathematical analysis and linear algebra, so that open sets, continuous functions, differentials, Raman integrals, matrices, and vectors are familiar terms.
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Inside This Book
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First Sentence:
Statistics may be described as the science of description of measurements on natural populations (Kendall and Stuart, 1977, pp. 1-2) . Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
relative suprema, countable limit base, countable population, finite subpopulation, nonnegative real function, linear lattice, mean deviation about the median, nonnegative member, disjoint subpopulations, bounded real interval, compact support relative, real measurable functions, enumerated inhabitants, positive linear functional, largest real number, reported inhabitants, disjoint members, summable function, consider the following theorem, differentiable real function, inverse distributions, homogeneous measure, quantile functions, enumerated population, finite population Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Given Example, Given Theorem, New York, Apply Theorem, North Central, Bureau of the Census, H-measurable T-vector, District of Columbia, H-integrable T-vector, Central Park, Given Section, Given Exercise, Given Corollary, E-random T-vector, New Jersey, H-measurable U-vector, H-square-integrable T-vector, New Hampshire, Apply Corollary, Apply Exercise, Bernoulli E-random, New England, Recall Exercise, Year Year New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Statistics may be described as the science of description of measurements on natural populations (Kendall and Stuart, 1977, pp. 1-2) . Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
relative suprema, countable limit base, countable population, finite subpopulation, nonnegative real function, linear lattice, mean deviation about the median, nonnegative member, disjoint subpopulations, bounded real interval, compact support relative, real measurable functions, enumerated inhabitants, positive linear functional, largest real number, reported inhabitants, disjoint members, summable function, consider the following theorem, differentiable real function, inverse distributions, homogeneous measure, quantile functions, enumerated population, finite population Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Given Example, Given Theorem, New York, Apply Theorem, North Central, Bureau of the Census, H-measurable T-vector, District of Columbia, H-integrable T-vector, Central Park, Given Section, Given Exercise, Given Corollary, E-random T-vector, New Jersey, H-measurable U-vector, H-square-integrable T-vector, New Hampshire, Apply Corollary, Apply Exercise, Bernoulli E-random, New England, Recall Exercise, Year Year New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 94
books:
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- Data Analysis (New Topics for Secondary School Mathematics) by Nc School of Sci and Math in Back Matter (1), and Back Matter (2)
- Introduction to Variance Estimation (Springer Series in Statistics) by Kirk Wolter in Back Matter
- Convex Analysis (Princeton Landmarks in Mathematics and Physics) by Ralph Tyrell Rockafellar in Back Matter
- Probability Based on Radon Measures (Probability & Mathematical Statistics) by Tue Tjur in Back Matter
- Bayes Theory (Springer Series in Statistics) by J. A. Hartigan in Front Matter
See all 94 books this book cites
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