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Structural and Statistical Problems for a Class of Stochastic Processes
Structural and Statistical Problems for a Class of Stochastic Processes
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A01=Harald Cramer
Absolute continuity
Addition
Age Group_Uncategorized
Age Group_Uncategorized
Almost surely
Alternative hypothesis
Author_Harald Cramer
automatic-update
Calculation
Category1=Non-Fiction
Category=PB
Certainty
Constant function
COP=United States
Correlation coefficient
Covariance function
Cyclic subspace
Delivery_Pre-order
Derivative
Diagonal
Dirac delta function
Disjoint sets
Eigenfunction
Eigenvalues and eigenvectors
eq_isMigrated=2
eq_nobargain
Equation
Equivalence class
Existential quantification
Finite-dimensional distribution
Hilbert space
Inference
Integral equation
Iteration
Joint probability distribution
Language_English
Least squares
Likelihood-ratio test
Linear combination
Linear least squares (mathematics)
Markov process
Mathematical statistics
Natural number
Neyman-Pearson lemma
Normal distribution
PA=Temporarily unavailable
Parameter
Partial derivative
Partially ordered set
Prediction
Price_€20 to €50
Probability
Probability distribution
Probability measure
Probability space
Projection (linear algebra)
PS=Active
Quadratic variation
Radon-Nikodym theorem
Random variable
Real number
Representation theorem
Reproducing kernel Hilbert space
Root mean square
softlaunch
Special case
Stationary process
Statistic
Statistical hypothesis testing
Statistical inference
Statistical Science
Statistician
Statistics
Stochastic calculus
Stochastic process
Summation
Theorem
Theory
Ulf Grenander
Uniqueness
Variance
Volterra integral equation
Wiener process
Year
Zero element
Product details
- ISBN 9780691620275
- Weight: 57g
- Dimensions: 152 x 235mm
- Publication Date: 21 Mar 2017
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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Professor Cramer, author of the pivotal Mathematical Methods of Statistics (1946), examines problems in the theory of stochastic processes that can be considered as generalizations of problems in the classical theory of statistical inference. He discusses first the representation formula and then treats its application to the multiplicity problem, classes of processes with multiplicity N= 1, normal or Gaussian processes. He concludes with a discussion of problems of estimation for a normal process. A distinguished mathematician, Harald Cramer has been President of the University of Stockholm and Chancellor of the Swedish Universities. He is a member of many professional societies, including the Royal Swedish Academy of Science and the American Academy of Arts and Sciences. Originally published in 1971. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions.
The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
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