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Sampling theory

By Des Raj. New York Mcgraw-Hill 1968 . 302p.

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APPLICATIONS OF PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George P.. New York Mcgraw-Hill 1974 . ,448

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PARAMETRIC ESTIMATION

By Wasan, M. T.. New York Mcgraw-Hill 1970 . 256

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PARAMETRIC ESTIMATION

By Wasan, M. T.. New York Mcgraw-Hill 1970 . 256

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Simultaneous statistical inference

By Miller, Rupert G.. New York Mcgraw-Hill Book Company 1966 . xv,272p. , Bibliography :253p.- 267p.

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SIMULTANEOUS STATISTICS INFERENCE

By Miller, Rupert G.. N. Y. Mcgraw-Hill 1966 . 272

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SIMULTANEOUS STATISTICS INFERENCE

By Miller, Rupert G.. N. Y. Mcgraw-Hill 1966 . 272

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INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George Proctor. N. Y. Mcgraw-Hill 1960 . 292

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INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George Proctor. N. Y. Mcgraw-Hill 1960 . 292

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Statistical decision theory

By Weiss, Lionel. New York McGraw-Hill Book 1961 . viii, 195p

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . v. , Includes Bibliography

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . iv

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . iv

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . iv

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . iv

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AN INTRODUCTION TO LINEAR STATISTICAL MODELS

By Graybill, Franklin A.. N. Y. Mcgraw-Hill 1961 . iv

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INTRODUCTION TO THE THEORY OF STATISTICS

By Mood, Alexander M.. New York Mcgraw Hill 1963 . 443

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ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

By Bharucha-Reid, Albert T.. N. Y. Mcgraw-Hill 1960 . 468 , Includes Bibliography

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ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

By Bharucha-Reid, Albert T.. N. Y. Mcgraw-Hill 1960 . 468 , Includes Bibliography

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ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

By Bharucha-Reid, Albert T.. N. Y. Mcgraw-Hill 1960 . 468 , Includes Bibliography

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CONCEPTS OF PROBABILITY THEORY

By Pfeiffer, Paul E.. N. Y. Mcgraw-Hill 1965 . 399

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INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George Proctor. N. Y. Mcgraw-Hill 1960 . 292

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INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George Proctor. N. Y. Mcgraw-Hill 1960 . 292

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INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

By Wadsworth, George Proctor. N. Y. Mcgraw-Hill 1960 . 292

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THE LOGIC OF DECISION

By Jeffrey, Richard C.. N. Y. Mcgraw-Hill 1965 . 201

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HOW TO GAMBLE IF YOU MUST

By Dubins, Lester E.. N. Y. Mcgraw-Hill 1965 . 249

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Elements of probability and statistics

By Wolf , Frank L.. New York Mcgraw - Hill Book Company 1962 . xv 322p.

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PKK Library Search for 'se,phr:"McGraw-Hill series in probability and statistics"'

Sampling theory

APPLICATIONS OF PROBABILITY AND RANDOM VARIABLES                     

PARAMETRIC ESTIMATION

PARAMETRIC ESTIMATION

Simultaneous statistical inference

SIMULTANEOUS STATISTICS INFERENCE

SIMULTANEOUS STATISTICS INFERENCE

INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

Statistical decision theory

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

AN INTRODUCTION TO LINEAR STATISTICAL MODELS

INTRODUCTION TO THE THEORY OF STATISTICS

ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

ELEMENTS OF THE THEORY OF MARKOV PROCESSES AND THEIR APPLICATIONS

CONCEPTS OF PROBABILITY THEORY

INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES

THE LOGIC OF DECISION

HOW TO GAMBLE IF YOU MUST

Elements of probability and statistics

APPLICATIONS OF PROBABILITY AND RANDOM VARIABLES