## Recursos de colección

#### Project Euclid (Hosted at Cornell University Library) (192.320 recursos)

The Annals of Mathematical Statistics

Wilks, S. S.

2. #### Report of the Secretary-Treasurer of the Institute for 1948

Dwyer, Paul S.

3. #### Report of the President of the Institute for 1948

Wald, Abraham

4. #### Report on the Cleveland Meeting of the Institute

Voorhis, W. R. Van

5. #### Report on the Seattle Meeting of the Institute

Birnbaum, Z. W.

6. #### Election of Officers and Council and Revision of By-Laws

Dwyer, Paul S.

9. #### Correction to "Asymptotic Formulas for Significance Levels of Certain Distributions"

Peiser, A. M.

10. #### A Note on Kac's Derivation of the Distribution of the Mean Deviation

Godwin, H. J.

Lev, Joseph

Baker, G. A.

13. #### A Formula for the Partial Sums of Some Hypergeometric Series

von Schelling, Hermann

14. #### Independence of Non-Negative Quadratic Forms in Normally Correlated Variables

Matern, Bertil

15. #### The 5% Significance Levels for Sums of Squares of Rank Differences and a Correction

Olds, Edwin G.

16. #### Tests of Independence in Contingency Tables as Unconditional Tests

Mood, A. M.
Since the ordinary tests for independence in contingency tables use test criteria whose distributions depend on unknown parameters, the justification for the tests is usually made either by an appeal to asymptotic theory or by interpreting the tests as conditional tests. The latter approach employs the conditional distribution of the cell frequencies given the marginal totals, and was first described by Fisher [1]. The purpose of the present note is to show how these tests may be regarded as unconditional tests even though the parameters are unknown by augmenting the test criterion to include estimates of the unknown parameters. We...

18. #### On Distinct Hypotheses

Berger, Agnes; Wald, Abraham

19. #### A Modified Extreme Value Problem

Epstein, Benjamin
Consider the following problem. Particles are distributed over unit areas in such a way that the number of particles to be found in such areas is a random variable following the law of Poisson, with $\nu$ equal to the expected number of particles per unit area. Furthermore, the particles themselves are assumed to vary in magnitude according to a size distribution specified (independently of the particular unit area chosen) by a d.f. $F(x)$ defined over some interval $a \leq x \leq b$, with $F(a) = 0$ and $F(b) = 1$. The problem is to find the distribution of the smallest,...

20. #### A Multiple Decision Procedure for Certain Problems in the Analysis of Variance

Paulson, Edward

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