Serial conversations: a man for all reasons: an interview with clifford lynch

Abstract

In July 2004, Cindy Hepfer asked friends and colleagues: “What question would you like to ask Clifford Lynch if you had the chance?” As a result, Clifford Lynch discusses a wide variety of topics and issues impacting the serials community from Open Access, institutional repositories, what we can learn from Google and Amazon, and Shibboleth to where his favorite places are to travel and how he prepares for presentations.     

They might be giants: a review of small presses and little magazines: an interview with Whitney Pastorek,Editor of Pindeldyboz

Abstract

This installment of “They Might Be Giants” highlights a small online/print zine from New York called Pindeldyboz. Described by its editor Whitney Pastorek as a lit mag, Pindeldyboz publishes new fiction every week or so at the Web site but then publishes longer fiction once a year in the annual print zine of the same name. While this may indicate a split personality on the part of the editor/publisher, the goals of both the print and online versions are the same: to publish good fiction.     

They might be giants: a review of small presses and little magazines: an interview with Whitney Pastorek, Editor of Pindeldyboz

This installment of “They Might Be Giants” highlights a small online/print zine from New York called Pindeldyboz. Described by its editor Whitney Pastorek as a lit mag, Pindeldyboz publishes new fiction every week or so at the Web site but then publishes longer fiction once a year in the annual print zine of the same name. While this may indicate a split personality on the part of the editor/publisher, the goals of both the print and online versions are the same: to publish good fiction.     

Statistical estimation for a partially linear single-index model with errors in all variables

This article considers partially linear single-index models with errors in all variables. By using the Pseudo ? θ method (Liang, Härdle, and Carroll 1999), local linear regression and simulation-extrapolation (SIMEX) technique (Cook and Stefanski 1994), we propose an efficient methodology to estimate the current model. Under certain conditions the asymptotic properties of proposed estimators are obtained. Some simulation experiments and an application are conducted to illustrate our proposed method.     

Testing for Serial Independence: Beyond the Portmanteau Approach

Portmanteau tests are typically used to test serial independence even if, by construction, they are generally powerful only in presence of pairwise dependence between lagged variables. In this article, we present a simple statistic defining a new serial independence test, which is able to detect more general forms of dependence. In particular, differently from the Portmanteau tests, the resulting test is powerful also under a dependent process characterized by pairwise independence. A diagram, based on p-values from the proposed test, is introduced to investigate serial dependence. Finally, the effectiveness of the proposal is evaluated in a simulation study and with an application on financial data. Both show that the new test, used in synergy with the existing ones, helps in the identification of the true data-generating process. Supplementary materials for this article are available online.     

Document Delivery as a Supplement or Replacement for Serial Subscriptions

Abstract

Increasing serials costs and shrinking budgets present challenges for academic libraries to continue providing sufficient access to scholarly articles. Rapid document delivery services can serve as an effective means to fill the gap caused by serials cancellations. This column examines several of the existing document delivery service providers and addresses issues involved in their implementation.     

Planning the duration of a survival group sequential trial with a fixed follow-up time for all subjects

To explore the operation characteristics of survival group sequential trials with a fixed follow-up period, the accrual time and total trial duration to ensure power and type I error rate requirements are explained and investigated for hazard ratios ranging from 1.3 to 3.0, with slow or high accrual rate, and in the presence or absence of censoring. Impacts of hazard rate, accrual rate, and competitive censoring on accrual time and subsequently on total trial duration are carefully illustrated. Real time for interim analyses, needed number of events, and recruited number of subjects at time of interim analyses are also tabulated.     

The Balance Point: Keeping Serial Bibliographic Records Viable in a Digital Age

Abstract

Michael Norman, head of serials cataloging at University of Illinois at Urbana-Champaign (UIUC) library, describes his library's development of an integrated management system for serials, the Online Research Resources (ORR). The ORR was designed to draw together and deliver to the public a wide range of information related to the library's serial holdings that previously could only be obtained by consulting a number of sources. With a single search, UIUC patrons can now consult the ORR for serials information such as variant titles, online availability, subject categories, print summary statements, ISI impact factor, where the title is indexed, and whether it is peer reviewed—an innovation sorely needed and highly welcomed by librarians and patrons alike.     

The Balance Point: Keeping Serial Bibliographic Records Viable in a Digital Age

Michael Norman, head of serials cataloging at University of Illinois at Urbana-Champaign (UIUC) library, describes his library's development of an integrated management system for serials, the Online Research Resources (ORR). The ORR was designed to draw together and deliver to the public a wide range of information related to the library's serial holdings that previously could only be obtained by consulting a number of sources. With a single search, UIUC patrons can now consult the ORR for serials information such as variant titles, online availability, subject categories, print summary statements, ISI impact factor, where the title is indexed, and whether it is peer reviewed—an innovation sorely needed and highly welcomed by librarians and patrons alike.     

Optimal fractional factorial designs for estimating interactions of one factor with all others: 3m Series

In some experimental situations, only one factor is expected to interact with other factors. Designs which permit estimation of all main effects and the interactions of one factor ‘With All Others’, are termed WAO designs. This paper discusses the existence and construction of s^m WAO designs. A series of WAO designs are presented for the 3^m factorial, for m = 6, 7, ... , 14. The p non-negligible effects are estimable in 9f^? runs, where f^? is the smallest integer such that 9f^? ≥p. These designs are determinant optimal within the class of parallel flats fractions and, except for the case f^? = 9, are new. They are ideally suited for sequential experiments.     

Closed testing procedures for all pairwise comparisons in a randomized block design

We consider multiple comparison test procedures among treatment effects in a randomized block design. We propose closed testing procedures based on maximum values of some two-sample t test statistics and based on F test statistics. It is shown that the proposed procedures are more powerful than single-step procedures and the REGW (Ryan/Einot–Gabriel/Welsch)-type tests. Next, we consider the randomized block design under simple ordered restrictions of treatment effects. We propose closed testing procedures based on maximum values of two-sample one-sided t test statistics and based on Batholomew’s statistics for all pairwise comparisons of treatment effects. Although single-step multiple comparison procedures are utilized in general, the power of these procedures is low for a large number of groups. The closed testing procedures stated in the present article are more powerful than the single-step procedures. Simulation studies are performed under the null hypothesis and some alternative hypotheses. In this studies, the proposed procedures show a good performance.     

The unbiasedness of hodges and lehman's test for a composite hypothesis of the man of a distribution with unknown variance

In 1954 Hodges and Lehmann considered the following problem: given is an i.i. normally distributed random sample with variance unknown. Under the null-hypothesis the mean is contained in a prescribed interval. Hodges and Lehmann constructed a test similar on the interval. This test is superior in power to the usual auxiliary procedure applied to this problem. Numerical calculations by Hodges and Lehmann indicated that the test is unbaised, however an analytical proof could not be given. In a recent paper the author proved unbiasedness for levels not too large, the magnitude depending on the sample size. Here the Proof is completed by establishing unbiasedness for all levels.     

Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Artificial intelligence procedures such as artificial neural networks (ANNs), genetic algorithms and particle swarm optimization and other procedures such as fuzzy clustering have been successfully used in the various stages of different fuzzy time-series forecasting approaches. Fuzzy clustering, genetic algorithm and particle swarm optimization are generally used in the fuzzification stage, and this simplifies the applicability of this stage and makes the fuzzy time-series approach more systematic. ANNs have also been applied successfully in the fuzzy relationship determination stage. In this study, we propose a new hybrid fuzzy time-series approach in which fuzzy c-means clustering procedure is employed in the fuzzification stage and feed-forward neural networks are used in the fuzzy relationship determination stage. This study also includes an empirical analysis pertaining to the forecasting of Index 100 for the stocks and bonds exchange market of Istanbul.     

Dealing with uncertainty: statistics for an aging population

"Uncertainty in statistics and demographic projections for aging and other policy purposes comes from four sources: differences in definitions, sampling error, nonsampling error, and scientific uncertainty. Some of these uncertainties can be reduced by proper planning and coordination, but most often decisions have to be made in the face of some remaining uncertainty. Although decision makers have a tendency to ignore uncertainty, doing so does not lead to good policy-making. Techniques for estimating and reporting on uncertainty include sampling theory, assessment of experts' subjective distributions, sensitivity analysis, and multiple independent estimates." The primary geographical focus is on the United States.