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y far, the most important single investment decision that our investment fund makes is not the particular investment managers we select, but our asset allocation. That s the proportion of our total assets we put into each asset class, such as large U.S. stocks, long-term bonds, or real estate equity. Asset allocation determines up to 90% of our future investment returns. If we think rst of manager selection, we are implicitly making allocations to asset classes. Why Because investment results within an asset class are so dominated by the wind behind that asset class,1 any manager s results will be highly impacted by that wind. If large U.S. stocks achieve high returns, so will nearly all managers of large U.S. stocks; and those managers will not be able to escape the slaughter if large U.S. stocks should crash. Historically, many endowment funds have drifted toward an asset allocation something like 60/30/10, that is, 60% in stocks, 30% in bonds, and 10% in cash equivalents, all U.S. based. Is there something inherently ideal in that asset mix If there is, it isn t apparent in other countries, where typical asset allocation differs greatly from country to country. Which nation s conventional investment wisdom is best The overwhelming reason for each fund s asset allocation is . . . that s how it s always done here. Fund sponsors feel safety in numbers, and many are timid about investing their money differently. Let s obey all laws diligently. But I suggest that an investment fund does well to ignore how its peers are investing their money. Instead, let s set our asset allocation on the basis of (1) our objectives, as discussed in 3,

Writing this book unaided would not have been possible at all. It is the result of the very best teamwork one could have. Luckily I have had a tremendous team to support me every step of the way. This team not only provided me with lots of material but also generated new material whenever needed. Even though I might have forgotten someone, I would still like to highlight the following as part of the critical chain behind this book: Samuli Paavola, Antti Saukko, Veli Sertti, Sandor Szilagyi and Mirkka Ylisuvanto. Samuli s skills and know-how in error handling enabled me to explain the importance of proper error management as a success factor in a mobile device program. Antti brought his invaluable and professional platform and tools knowledge that helped me with related parts in this book. Veli gave his expert advice on certi cation related parts. Sandor provided his competence beyond comparison to the binary compatibility related parts of this book. Mirkka helped me understand testing processes as well as other platform-speci c testing-related topics so that I was able to explain them correctly. To really understand the issues customers face in their projects requires rst-hand experience. This was given to me by Heidi Melen and Kalevi Ratschunas. I was honoured to work side by side with them in one of the Licensee s device programs. That program opened my eyes to the challenges that customers have in creating a phone with S60 on it. I also feel the need to give my deepest thanks to my employer Nokia. After being privileged to work for this company for over eleven years, I appeciate everything this company has given me. It has given me so much, usually everything I have ever asked for:

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110 164 105 290 193 127 130 350 160 216 150 17 59 105 81

margins. These kinds of companies are poised to compete with the top-heavy, resource-intensive firms of the Old World.

3rd party developer Licensees Licensees Licensees Licensees 3rd party developer Licensees Licensees Licensees Licensees S60 Platform

The In operator determines whether an expression s value is the same as any value within a list. The general syntax of In is:

Empirical distributions with a coefficient of variation less than one can be approximated using the Erlang-Ic distribution. Here Ic is the number of exponential phases in series. Figure 1.6 shows a model of a time duration that has an EI, distribution. It contains Ic identical phases connected in series, each with exponentially distributed time. The mean duration of each phase is x/i , where x denotes the mean of the whole time span.

The Inverse Kinematics panel includes Positional, Rotational, and Iteration thresholds for both Applied IK and Interactive IK.

The functional testing elements (both environmental and data) of networking and data bearers of the S60-based phone are introduced in this section. HTTP Protocol testing needs terminal prototypes and a World Wide Web server. As data, some HTML and XHTML test material is needed, as well as HTTP error codes. WAP Protocol testing needs terminal prototypes, a WAP server and, as data, some material that supports WAP. Testing of GSM Circuit Switched Data needs terminal prototypes and a GSM network with CSD capability.

Open loop phase (degrees) 210 180 150 120 90 60 0.25 +24 +1 +2 1 +0.5 5 0.5 1.25 rads/sec 10 +2.0 +1.0 +3.0 +6.0 +12.0 10 rads/sec 2.5 rads/sec 0 1.0 5.0 rads/sec 4.0 0 6.0 9.0 Gain margin 20 rads/sec 12.0 12 150 120 40 rads/sec 90 6 2.0 +6 +12 +18 30 0 +30

+ n(O,O; 2)/&,

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