The problem of identifiability is basic to all statistical methods and data analysis, occurring in such diverse areas as Reliability Theory, Survival Analysis, and Econometrics, where stochastic modeling is widely used. Mathematics dealing with identifiability per se is closely related to the so-called branch of "characterization problems" in Probability Theory. This book brings together relevant material on identifiability as it occurs in these diverse fields.
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First Sentence:
Suppose X and Y are independent normally distributed random variables. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
independent random elements taking values, random linear forms, continuous homogeneous process, probability generating functional, generalized random fields, independent positive random variables, convex mixtures, generalized convolution, continuous branch, mixing distributions, identifiability problem, finite mixtures, characteristic functional, directional data, identified minimum Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Suppose X and Y are independent normally distributed random variables. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
independent random elements taking values, random linear forms, continuous homogeneous process, probability generating functional, generalized random fields, independent positive random variables, convex mixtures, generalized convolution, continuous branch, mixing distributions, identifiability problem, finite mixtures, characteristic functional, directional data, identified minimum Key Phrases - Capitalized Phrases (CAPs): (learn more)
Prakasa Rao New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 25
books:
See all 25 books this book cites
3
books
cite this book:
- Nonparametric Functional Estimation (Probability and Mathematical Statistics) by B. L. S. Prakasa Rao in Back Matter
- Topics in Algebra by I. N. Herstein in Back Matter
- Functional Analysis by L. V. Kantorovich in Back Matter
- Special Functions and the Theory of Group Representations (Translations of Mathematical Monographs) by N. Ja. Vilenkin in Back Matter
- Functional Analysis (Springer Classics in Mathematics) by Kosaku Yosida in Back Matter
See all 25 books this book cites
- Handbook of Applied Econometrics and Statistical Inference (Statistics: a Series of Textbooks and Monogrphs) by Aman Ullah on page 685
- Linear Models: A Mean Model Approach (Probability and Mathematical Statistics) by Barry Kurt Moser on page
- Stochastic Orders and Their Applications (Probability and Mathematical Statistics) by Moshe Shaked in Back Matter
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