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Contemporary Soviet Government (1975) is a leading study of the practice of Soviet government, examined against a background of Soviet Marxism. It presents an analysis of the Soviet political system since the death of Stalin, and places considerable emphasis on the role of state organisations.

Soviet Socialism (1987) is based on the author's specialized knowledge of many aspects of Soviet politics, including local government, the Communist Party and the Soviet intelligentsia and covers a selection of interrelated themes drawn from Soviet politics and society.

Soviet Socialism(1987) is based on the author's specialized knowledge of many aspects of Soviet politics, including local government, the Communist Party and the Soviet intelligentsia. Written originally after the death of Brezhnev, in the Andropov-Chernenko interregnum, the essays were revised to take account of the accession to power of Mikhail Gorbachev, and they cover a selection of interrelated themes drawn from Soviet politics and society. The detached view the author takes of the Soviet state presents a new and stimulating approach to Soviet studies.

Contemporary Soviet Government (1975) is a leading study of the practice of Soviet government, examined against a background of Soviet Marxism. It presents an analysis of the Soviet political system since the death of Stalin, and places considerable emphasis on the role of state, as distinct from Party, organisations - as the author contends that these are more important than commonly realised in the West.

An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses

Modern computer systems are now so powerful that they can be used to carry out simulation-based statistical investigations without involving delays or the need to access high levels of equipment. When carrying out econometric analyses, the routine use of computer-based methods offers a valuable alternative to the standard approach in which approximations are based upon what happens as the sample size grows without limit. Applied work has to be based upon a finite number of observations. Computationally-intensive techniques and, in particular, bootstrap methods provide ways to improve the finite-sample performance of well-known tests. Bootstrap tests can also be employed when conventional theory does not lead to a test statistic, which can be compared with critical values from some standard distribution. This book uses the familiar linear regression model as a framework for introducing simulation-based tests to applied workers, students and others who carry out empirical econometric analyses.